By now, most legal marketing teams have heard of GEO. Generative engine optimization (the practice of making your firm’s content more visible in AI-generated answers) has officially entered the legal marketing mainstream. 

It’s showing up at ABA Techshow sessions, in JD Supra primers, and on the agendas of marketing committees that hadn’t heard the term six months ago.

Good. That conversation is worth having.

But GEO is a tactical conversation. And while your firm is focused on tactics, three deeper AI visibility gaps are compounding in your firm’s competitive reputation, your client relationships, and inside your own department.

Thomson Reuters put a number on part of this in their 2026 Great AI Disconnect report: more than half of law firms are using or evaluating generative AI, forty-one percent of attorneys use it regularly, and most clients have no idea. That finding captures one gap. The other two don’t show up in any report yet.

Here is what is not in the room.

The Reputation Gap

AI is already describing your firm to prospective clients. Nobody at your firm has reviewed what it’s saying.

When a general counsel or legal operations professional asks an AI model to evaluate firms in a practice area, they don’t get a list of links. They get a characterization. The AI describes your firm: its reach, its strengths, its positioning relative to competitors. It draws from your website, your directory listings, your Chambers and Legal 500 submissions, and whatever other sources it has determined are authoritative.

By Aries has run cross-model audits encompassing multiple firms, and the findings are consistent. One firm we worked with was described as a regional leader across every AI model tested. Their direct competitors in the same practice areas were being characterized as nationally recognized, with language emphasizing global reach and landmark matters. The competitive framing gap was significant, and it traced directly to language decisions made years ago in Chambers submissions and website copy.

The word “regional” appeared nowhere in the firm’s own materials as a self-description. But the absence of language explicitly claiming national presence meant AI filled the gap with the most conservative interpretation available. Their competitors had been more deliberate. The firms that submitted language saying “nationally recognized” and “global litigation practice” were getting exactly that language reflected back in AI-generated answers.

Small decisions, made in submissions nobody thought twice about, are now producing reputational outputs the marketing team has never reviewed.

What makes this more urgent than GEO: the discovery process is not staying in search. AI agents are moving from answering questions to active vetting, comparing firms against criteria before a human reviewer ever engages. This is already standard practice in procurement and private equity, where platforms autonomously evaluate submissions before a human sees them. Legal operations departments face the same volume pressures. 

According to the ACC/Everlaw 2026 survey, sixty-four percent of in-house legal teams are already expanding their own AI capabilities and reducing outside counsel reliance. When thirty proposals arrive at once, the efficiency argument for AI-assisted screening is identical to what already happens in recruiting, where AI filters candidates before human eyes touch a single resume. The firms whose positioning is stated rather than implied will make the shortlist. The ones still writing for a pre-AI audience may not.

What to do now: Run a cross-model audit. Not just one search in ChatGPT, but consistent queries across ChatGPT, Perplexity, Claude, and Gemini. Compare how AI characterizes your firm against how it characterizes your direct competitors. Then go back to your Chambers submissions, your practice group descriptions, and your attorney bios. If your national presence, cross-border capability, or market-defining work is assumed rather than stated, that assumption is working against you.

The Client Gap

Your clients are waiting for you to say something. The silence is doing more damage than you think.

The Thomson Reuters finding deserves a direct translation for CMOs: your existing clients are reading the same industry coverage you are. They are attending conferences and asking peers how their firms are handling AI. What they are not receiving, in most cases, is a proactive answer from your firm about what AI is doing on their matters, what governance exists, and what it means for the value they receive.

This silence is a choice, even if it doesn’t feel like one. By Aries has had this conversation with CMOs directly, and the hesitation almost always comes back to the same place: the billable hour. 

If AI helped accomplish in four hours what previously took forty, and a client knows that, the partner billing on that matter is exposed. So firms don’t invest in AI workflows that support client work and the efficiency gain stays invisible to clients. 

The silence designed to protect the billable hour is preventing firms from making the one argument that would help them justify their rates as the market shifts: that AI is making their work better and faster, and that the client is the direct beneficiary.

The firms already operating on alternative fee arrangements don’t have this problem. They can say directly that AI is improving quality and efficiency and explain what that means for how they price their work. That is a differentiating message. Most firms cannot make it yet, but the window to build toward it is not staying open indefinitely.

Clients who are already asking how their firm uses AI are not going to stop asking. And “we can’t really speak to that” is not a reassuring answer. It is the opposite.

What to do now: If your firm isn’t ready for a full AI transparency strategy, start smaller. Work with your key client relationship partners on a consistent, honest answer to the question “how is the firm using AI?” Confirm that answer exists. Confirm everyone who might be asked has it. The firms building a client-facing AI narrative now, even a simple and honest one, will be significantly better positioned when the billing model conversation moves from management committees to client meetings.

The Talent Gap

Your most capable AI people are invisible inside your own department. Recruiters already know who they are.

There are people on your team right now who have built something impressive with AI on their own time, without asking permission, because they understood before the firm did that this was not optional learning. Workflows that eliminate research bottlenecks, frameworks that cut preparation time in half, tools that have changed how they do their jobs. Most of them haven’t told anyone.

The incentive to stay quiet is rational. Demonstrating you can do the work faster doesn’t always lead to recognition. Sometimes it leads to more work and no additional compensation.

Meanwhile, AI fluency is the most in-demand competency being sourced in legal marketing right now. The person building workflows in their spare time has a target on their back from every competitor firm that has figured out where the market is heading. You may not know they have it. They do.

The question worth asking yourself honestly: if that person left tomorrow, what would your department actually lose? If the answer is more than you’d like to admit, what you have is not an institutional capability. It is a personal dependency built on someone else’s unpaid learning.

What to do now: Surface what your team has actually built, not what’s been officially deployed, but what individuals are using right now to do their jobs better. Ask directly and without judgment. If someone on your team can be a real-world example of what’s possible with AI, that is a skill with real market value, and it should be recognized as one. Create explicit incentives for knowledge-sharing. 

The message your team needs to hear is unambiguous: sharing what you know makes you more valuable here, not a target for more work.

The Firms That Close These Gaps First Will Be Difficult to Catch

GEO is worth your attention, but it is a single tactic inside a much larger visibility problem: one that runs through your firm’s competitive reputation, your client relationships, and the talent that is building your department’s AI future whether you know it or not.

The firms that will pull ahead are not necessarily the ones with the largest AI budgets. They are the ones that recognize AI visibility as a leadership challenge rather than a marketing tactics problem, and start having the three conversations that are not in the room yet.

Those conversations are available right now. The question is who starts them first.

By Aries works with law firm marketing leaders to close all three of these gaps: auditing how firms appear across AI systems, building client-facing AI communications strategies, and surfacing the internal AI capability that marketing departments don’t know they have. If any of this feels uncomfortably familiar, that’s the right place to start.

The post Your Firm Has Three AI Visibility Gaps. GEO Is the Least of Them. appeared first on By Aries.

These aren’t novice marketers. They’re experienced leaders running comprehensive programs: publishing thought leadership, managing multi-channel campaigns, optimizing their digital presence, pursuing rankings and recognition. They’re checking every box on the traditional marketing playbook.

But when the conversation turns to measurement and attribution, something shifts. The confidence wavers.

“We track traffic and monitor rankings. We’re investing in SEO.”

These answers aren’t wrong. They’re incomplete. And that incompleteness reveals a deeper issue affecting even the most well-resourced marketing teams.

Here’s the real risk: Is your firm evaluating your existing marketing infrastructure with assumptions that no longer reflect how clients actually discover and assess legal services?

The environment surrounding your marketing has changed completely. Artificial intelligence isn’t simply another distribution channel to layer into your existing strategy. AI has restructured the entire discovery process: how your firm surfaces in prospect research, how your expertise gets interpreted and summarized, and how potential clients evaluate whether you’re the right fit for their needs.

Your prospects have changed how they search. They’re no longer typing keywords. They’re asking questions. And AI is providing answers, synthesizing your expertise, and making recommendations about your firm whether you’ve optimized for this reality or not.

By Aries sees this creating an immediate measurement crisis for marketing leaders who haven’t yet established frameworks to evaluate whether their firms are even visible in this transformed landscape.

A New Evaluation Framework

This isn’t a marketing audit. Traditional audits evaluate whether you’re executing tactics correctly: Is your SEO optimized? Are your meta descriptions current? Is your content calendar full?

Those questions still matter. They’re just insufficient now.

What’s needed is a leadership evaluation model, a framework that helps CMOs assess whether their marketing can actually achieve its intended purpose in the current environment.

The four lenses for evaluating legal marketing in 2026:

1. Visibility – How and where your firm surfaces when prospects search, both through traditional keywords and AI-powered questions
2. Credibility – How systems and people continuously assess whether you have the expertise to solve their specific problem
3. Clarity – Whether prospects can quickly understand who you help, what problems you solve, and what to do next
4. Conversion and Momentum – Whether your marketing creates familiarity, builds recognition, and generates meaningful conversations

Each lens represents a shift from how marketing success was measured previously. Let’s examine what’s changed.

Lens One: Visibility

The Before and After

Before 2026: Visibility meant appearing in Google search results. Firms competed for keyword rankings and paid for sponsored positions. Success meant being found in search.

Now: When someone searches “ERISA lawyer Austin Texas,” they often don’t see traditional search results first. Instead, they get an AI overview that presents curated information about several lawyers, complete with photos and credentials, before any blue links appear.

The AI makes editorial decisions about who to surface, how to describe them, and in what order to present them. It pulls from your website, Google Business Profile, legal directories, Wikipedia, media mentions, and any other source it deems authoritative.

Visibility now has two components: being found, and being accurately represented when you’re found. You also need to surface for the questions that matter to your ideal clients, not just their keyword searches.

From Keywords to Questions

The more significant shift: prospects aren’t always typing keywords anymore. They’re asking questions.

“What do I do if my insurance claim is denied?” “How do I protect my company’s IP when expanding internationally?”

These questions generate AI responses that synthesize information and cite sources. If your firm has published authoritative, insight-driven content addressing these questions, you may be cited. If you haven’t, your competitors will be instead.

What This Means for CMOs

1. Audit your foundational data in directory listings. 

Information in your Google Business Profile, firm website, legal directory listings, and any Wikipedia entries must be consistent. When AI systems pull from multiple sources, inconsistencies undermine credibility.

2. Shift content strategy from volume to authority. 

By Aries always asks: “If someone could Google this information in 30 seconds, why would you spend time writing about it?”

The content that gets cited by AI shares common characteristics:

• Addresses “what changed, what it means, and what to watch”
• Includes specific data points or frameworks drawn from experience
• Demonstrates pattern recognition across client situations without violating confidentiality
• Published in venues AI systems recognize as authoritative

Test Your Visibility

Use this prompt in ChatGPT, Claude, or Gemini:

Act as a potential client researching legal services for [firm name] found at [website URL].

How would you describe this firm?
What practice areas stand out?  
Which firms appear comparable?
What is unclear or missing?

Pay attention to which sources the AI cites. If it’s pulling from outdated listings or inconsistent profiles, you’ve identified immediate cleanup work.

Lens Two: Credibility

From One-Time to Continuous

Before: Credibility was something you established once through a polished website, attorney bios, and rankings. You’d refresh every few years and update awards annually.

Now: AI systems and informed prospects assess credibility continuously, pulling from an expanding array of sources and looking for patterns.

When a prospect researches your firm today, they might encounter your website, your lawyer’s LinkedIn profile, an article in a trade publication, a podcast interview, your Google Business Profile, Glassdoor reviews, and Reddit discussions. Each data point either confirms or contradicts the others.

Consistency builds credibility. Inconsistency erodes it.

What Gets Cited

By Aries tracks this in our own marketing. We publish regular content for legal marketers, but when we analyzed which content drives AI referral traffic, two articles dominate:

“10 Examples of Lawyers Using LinkedIn Like Pros” included specific screenshots, concrete examples, and practical frameworks readers could apply immediately.

“Measuring ROI for LinkedIn Marketing in Law Firms” contained proprietary data from six years of client work, specific statistics about what drives results, and quantified outcomes.

These drive more AI referral traffic than everything else combined. Why? They contain information that doesn’t exist anywhere else. The data is unique, verifiable, and immediately useful.

AI systems prioritize content with unique insights, specific examples, proprietary data, or frameworks that can’t be found through a simple search.

Creating Insight While Maintaining Confidentiality

CMOs often ask: “How do we create insight-driven content without violating client confidentiality?”

Four approaches work consistently:

Measure What AI Values

Set up Google Analytics to track AI chatbot traffic from ChatGPT, Perplexity, and Copilot. Analyze which content drives referrals from these sources. You’ll see quickly what AI systems consider authoritative enough to cite.

Lens Three: Clarity

Why Clarity Matters More Now

A confused mind is an indecisive mind.

When humans struggle to understand who you help and what you do, AI systems struggle even more. And unlike humans who might dig deeper, AI systems simply move on to clearer alternatives.

Clarity matters for comprehension: Can a stranger quickly answer these four questions?

1. Who do you help?
2. What problem do you solve?
3. Why does it matter?
4. What should I do next?

The LinkedIn Clarity Test

By Aries uses LinkedIn as a clarity diagnostic because positioning must compress into a single headline. Here’s a real example from recent coaching:

Lawyer A’s headline: “Juris Doctor”

Lawyer B’s headline (same firm): “IP, Privacy & AI Lawyer | Serving Businesses in Privacy, IP & Technology Transactions”

The difference is immediate. The second headline answers: What does this lawyer do? Who do they help? What specific problems?

The Referral Test

Delisi Friday is one of legal’s most connected referral marketers. Recently, a close family member needed a criminal defense attorney for court in Houston the next day.

Delisi searched LinkedIn for “criminal defense attorney Houston.”

Dozens of lawyers appeared. But scrolling through profiles, almost none clearly identified as criminal defense attorneys in their headlines. Some said “Partner.” Others said “Attorney.” Finding someone who explicitly stated they practiced criminal defense in Houston was surprisingly difficult.

If someone who refers legal work professionally struggles to quickly identify the right lawyer because of clarity failures, how can prospects with no legal industry knowledge possibly navigate this landscape?

Four Clarity Frameworks

Based on what actually works:

Industry Focus: “Healthcare M&A Lawyer | Advising Hospital Systems and Private Equity”
Practice Focus: “Employment Litigation Attorney | Defending Wage & Hour Claims”
Industry and Practice: “Real Estate Attorney for Tech Companies | Office Leases & HQ Buildouts”
Practice and Location: “Estate Planning Attorney | Serving Dallas-Fort Worth Families”

What doesn’t work: “Attorney”, “Partner”, “Lawyer”, or “Juris Doctor” without indicating what you do or who you help.

Test Your Clarity

Use this prompt:

Review this [website/bio/profile] as if you are unfamiliar with the firm.

What services are clearly offered?
Who appears to be the ideal client?
What feels compelling or confusing?
What questions remain unanswered?

If AI can’t articulate who you help and what you do, neither can your prospects.

Lens Four: Conversion and Momentum

Rethinking Conversion

Most firms think about conversion as leads like form fills, phone calls, consultation requests.

By Aries recommends rethinking conversion as a progression:

This progression matters because experienced legal buyers rarely click and call. They research extensively, verify credentials, read content, and assess cultural fit before ever making contact.

The Momentum Test

Many firms pile on marketing activities without evaluating whether any of them actually create momentum.

Would leads dry up? Would referral sources stop calling? Would anything actually stop working?

If the answer is no, reassess that channel’s value.

Case Study: Our Newsletter Transformation

By Aries used to spend hours each month creating a newsletter recommending articles for legal marketers to read. It performed adequately. Open rates were decent. People clicked.

But we realized: nobody was starting conversations with us about it. People clicked to read other people’s content, then left.

We loaded all our newsletter analytics, website data, and YouTube metrics into ChatGPT and asked: “This newsletter isn’t starting conversations. How do we build more momentum?”

The AI recommended: Stop promoting other people’s content. Focus on your best original work that people might have missed.

We redesigned the newsletter to feature our own webinars, articles, and frameworks.

The results:

Before (Jan.-Aug. 2025)

• Average open rate: 36-40%
• Average click rate: 3-4%

After (Sept.-Dec. 2025)

• Average open rate: 40-46%
• Average click rate: 4.8-5.4%
• Most importantly: People started mentioning the newsletter in conversations. They’d reference specific articles. They’d ask about upcoming webinars.

The content created momentum, not just metrics.

Evaluating Your Channels

For each marketing channel, ask:

• Why does this exist? What’s its specific purpose?
• Who is the audience? Be specific.
• Who owns it? And are they equipped to own it well?
• What evidence supports its existence? What data proves it’s working?
• What’s the risk if it disappears? What would actually break?

“Because our competitor is on this channel” isn’t a good enough reason.

The Evaluation Prompt

You are evaluating law firm marketing for leadership decision-making in 2026.

For each content item I provide, evaluate how well it serves its audience using these four lenses:
- Visibility  
- Credibility
- Clarity
- Conversion and Momentum

Score each lens from 1-5 (1=not effective, 3=adequate, 5=highly effective). Be conservative.

Return results as a table with: Channel, Content Item, Intended Audience, Intended Purpose, scores for each lens, Brief Rationale, One Improvement Recommendation.

After the table, include 3-5 bullets summarizing strengths, gaps, and priorities.

Write in plain language for firm leaders. Avoid marketing jargon.

Upload your content inventory and let AI evaluate where you’re strong and where gaps exist.

What This Means for Marketing Leaders

The firms that thrive in 2026 won’t be the ones doing the most marketing. They’ll be the ones who understand how their marketing actually functions in an AI-mediated discovery environment.

This requires:

• Consistent foundational data across every platform where your firm appears
• Content with genuine insight rather than volume of generic updates
• Absolute clarity about who you serve and what problems you solve
• Ruthless prioritization of channels that create actual momentum

The gap between traditional metrics and actual market visibility is widening. The firms addressing this gap now are building market positioning that will compound over time.

The firms waiting for clearer signals are falling behind in ways their current metrics won’t reveal until catching up becomes significantly harder.

Next Steps

By Aries works with law firms to audit their marketing through these four lenses, identify the gaps between current state and AI-era requirements, and build implementation roadmaps that marketing teams can actually execute.

If you’re responsible for marketing leadership at a law firm and you’re uncertain whether your current approach is positioned for how clients actually discover and evaluate legal services in 2026, let’s talk.

The playbook has changed. And the firms that adapt their evaluation frameworks first will capture the opportunities that confusion creates for everyone else.

The post How the Marketing Playbook Has Shifted for Law Firms: A Practical Framework for Evaluating Law Firm Marketing in 2026 appeared first on By Aries.

We have all read summaries, overviews, and “recent developments” alerts that say nothing a client could not find elsewhere.

That is not a future risk. It is already happening.

We are all walking through a content landscape that feels increasingly like a vast and hollow corridor. It’s technically perfect, but it lacks warmth and any sign of human life. This silence is deafening. Our job is to fill that silence with the sound of a clear, confident voice. 

The real problem? When lawyers use AI, they don’t realize it’s neutral. It lacks judgment and has no lived experience or accountability. AI cannot take a position, because it doesn’t have one.

This is why perspective-driven thought leadership matters more now than it did five years ago.

“When a lawyer takes a clear stance, explains how they see risk evolving, or shares how nuance plays out in practice, the content immediately signals something AI cannot replicate: perspective, and sometimes even conviction.”

And perspective is not just what makes content memorable to human readers; it is increasingly what makes content visible to AI search engines.

The GEO Shift: Why AI Search Rewards Perspective Over Information

Here is the one sentence most law firms haven’t internalized yet: The place where people find legal expertise has moved from a list of links to a single, cited answer.

AI search queries now average 23 words compared to Google’s traditional 4-word standard, and platforms like ChatGPT now have more than 400 million weekly users. These users are not clicking through link lists. They are reading AI-generated answers that synthesize information and cite a handful of authoritative sources.

This is a fundamental market shift that changes the value of a lawyer’s time. When lawyers take a complex area of law and synthesize it into something actionable and applicable, they are doing two things at once: providing value to the client and creating a citation-worthy source for AI.

Perspective-driven thought leadership is so powerful because it leverages what lawyers already do best, synthesizing and taking a position, by amplifying it through AI-generated answers, using their own words as the source.

Research shows that content featuring original statistics, expert quotes with attribution, and clear point-of-view claims sees 30-40% higher visibility in AI responses.

Neutral content gets ignored, while perspective-driven, data-backed content gets cited.

What AI Can Do vs. What Only Lawyers Can Do

The distinction is not subtle.

AI can summarize a regulatory update in seconds, but it cannot tell a client which provision will become the enforcement priority six months from now, or which compliance gaps create the most exposure in practice. Only someone who has negotiated those deals, defended those audits, or watched enforcement patterns evolve can do that.

And increasingly, only that kind of content gets cited by AI. 

When a firm publishes neutral content, it’s not just a strategic miss; it’s invisible labor. It’s the time of a busy partner and a resource-strapped legal marketer spent crafting a perfectly safe message that lands with a quiet thud in an ocean of identical posts. You worked hard for silence; perspective is the path to a clear signal.

Using AI wisely means understanding what it cannot do and doubling down on the human elements that matter.

The AI Slop vs. Insight Framework: A Practical Evaluation Tool

Need help identifying if your content meets muster? Before publishing any thought leadership content, run it through this diagnostic framework:

Dimension 1: Claim Type

AI Slop:

• Makes broad, unverifiable generalizations
• Uses hedging language throughout (“may,” “could,” “might”)
• No specific data or evidence

Perspective-Driven Insight:

• Makes specific, falsifiable claims backed by data
• Takes a clear position, even if it limits appeal
• Includes at least one concrete statistic or referenced study

Example:

❌ AI Slop: “Companies should be aware that data privacy regulations are evolving and may require updates to compliance programs.”

✅ Insight: “Based on 40 enforcement actions we reviewed from 2026, regulators are now citing the gap between documented policies and actual data handling practices in 73% of consent decree violations, not the absence of policies.”

Dimension 2: Pattern Recognition

AI Slop:

• Repeats what is already public knowledge
• Makes no connection between disparate facts
• Provides no predictive value

Perspective-Driven Insight:

• Identifies trends most practitioners have not noticed
• Connects enforcement patterns to business impact
• Provides forward-looking guidance

Example:

❌ AI Slop: “Recent SEC guidance addresses cryptocurrency disclosure requirements.”

✅ Insight: “The SEC’s March 2025 guidance appears narrow and focused on crypto disclosures. But when read alongside three recent enforcement actions in traditional securities, we are seeing a pattern: the SEC is redefining what counts as ‘material’ digital asset exposure, and most CFOs are using the old framework.”

“Insight is not found in a Wikipedia entry. It is the ability to connect two dots a mile apart, one is the fine print in a statute and the other is the nervous expression on a client’s face during a complex negotiation. That is three-dimensional analysis. Whereas, AI only sees a flat page. Be more human.“

Dimension 3: Structure and Citability

AI Slop:

• Uses long paragraphs with buried takeaways
• Follows no clear hierarchical structure
• Makes claims without attribution

Perspective-Driven Insight:

• Leads with a 40-60 word direct answer to the core question
• Uses clear hierarchical headings (H2/H3 structure)
• Includes inline citations and attributed statistics

Research shows that content with clear formatting, such as headings, bullets, tables, is 28-40% more likely to be cited by AI engines. Beyond AI visibility, structured content makes complex legal analysis accessible to the clients who need it.

Example:

❌ AI Slop: “There are various considerations when implementing privacy controls, and companies should evaluate their specific circumstances in light of the regulatory landscape and internal risk tolerance, among other factors that may be relevant depending on industry vertical and data processing activities.”

✅ Insight (First 60 words): “Privacy program effectiveness depends less on policy documentation than on operational alignment. In our analysis of 50 data breach investigations, companies with board-approved privacy policies still faced enforcement 68% of the time when their engineering teams bypassed those controls in production. The gap between governance and execution is where most exposure lives.”

Dimension 4: The Perspective Test

Before publishing, ask:

• Could this have been generated by a competent AI with no context? If yes, it probably was or will be assumed to be.
• Does this piece reveal how this lawyer thinks, or just what they know? Knowledge is a commodity now, but thinking is not.
• Is there a clear stance, or is everything framed as neutral and safe? Perspective stands out; neutral content disappears.
• Would a client quote this back to us in a meeting? If they do not remember it, they will not value it.
• Does this content include specific data points that AI can cite? Adding at least one specific statistic to every major claim creates a 40% visibility boost in AI search results.

If the answer is yes to the first question and no to the rest, the content will blend into the noise.

Example: AI-Safe vs. AI-Proof Thought Leadership in Action

AI-Safe (Forgettable)

“Recent developments in data privacy law require companies to review their policies and procedures to ensure compliance.”

This is accurate. It is also indistinguishable from hundreds of AI-generated posts published this week. ChatGPT will not cite it, and clients will not remember it.

AI-Proof (Perspective-Driven and Citation-Worthy)

“Most companies believe their data privacy risk is controlled because they have updated their policies.

In enforcement actions, that belief is rarely what regulators focus on. According to our review of 60 FTC consent decrees from 2023-2024, 82% of violations involved documented policies that were technically compliant—the problem was operational drift.

What matters is whether the business’s actual practices align with those policies. We find this gap in 7 out of 10 privacy programs we review, even among well-intentioned companies.

This documentation-versus-reality disconnect is becoming one of the most common sources of exposure in privacy enforcement.”

Why this works:

• Clear stance backed by data
• Pattern recognition from actual casework
• Signals experience through specific client work
• Judgment about what matters most
• Specific statistics that AI engines can cite (82%, 7 out of 10)
• Direct answer structure upfront

AI can assist with structure, but conviction requires human judgment. AI search engines are increasingly designed to cite that conviction, not summaries.

From Source to Destination: Building Trust in an AI-Saturated Market

Wayne Pollack, founder of Law Firm Editorial Services and Copo Strategies, frames the challenge bluntly:

“The key to standing out in this new world of AI slop masquerading as thought leadership is to be THE DESTINATION, not A SOURCE, for content that provides the insights and guidance your clients need to help them work through their legal and business issues.

People go straight to The Wall Street Journal, their favorite podcasts, their preferred creators on YouTube or Substack, etc., when they want information from trusted sources. The Wall Street Journal’s subscribers don’t search Google or ChatGPT for ‘top business publications.’ With a bit of strategy and a whole lot of execution, you can be your target audience’s Wall Street Journal for the kind of work you do.

Create content, network, speak, get publicity—do whatever you have to do to make a favorable first impression on members of your target audiences that compel them to look you up, follow you, and subscribe to your content offerings. Then, consistently provide them with relevant, valuable, and compelling content that convinces them that there’s no better source of this information than you.

Don’t wait for your target audiences to swim across the AI slop-filled thought leadership content pool to find you. Make them want to climb out and find you on the pool deck.”

Being one of many sources clients might stumble across in a search is no longer viable. Generic content, even if technically correct, gets lost in an ocean of AI-generated material that says the same thing in slightly different words.

Becoming the destination means clients do not search for you because they already know where to find you. They subscribe, follow, and refer colleagues to your content because it consistently delivers something they cannot get anywhere else.

This is the power of building a brand and being the source. Not just the source to your clients, but the source to AI search engines.

Why This Matters for Law Firm Marketing Strategy

Most law firms are still optimizing for keyword rankings in a world where the top search result may not even be a clickable link anymore.

The firms that will capture client attention are not focused on publishing more content. Instead, they are focused on creating insightful perspectives that are citation-worthy. This is content that AI platforms recognize as authoritative enough to cite when answering legal questions, and your clients find valuable enough to share with others.

What makes content citation-worthy and share-worthy?

• Specific data and statistics: Content with specific numbers instead of qualitative descriptions.
• Expert attribution: Adding credible references, academic citations, and links to authoritative sources. (Note: We did this here with our quote from Wayne Pollack.)
• Clear point of view: Expert judgment gets cited; neutral explanations get passed over.
• Structured formatting: FAQ formats and hierarchical content structure perform exceptionally well because they match how users query AI systems.

This is already happening. 89% of B2B buyers now use AI tools during the purchasing process, according to Averi. If your firm’s expertise is not showing up in AI-generated answers, you are invisible to the majority of your market.

Reframing the AI Conversation for Law Firms

What used to work in law firm thought leadership won’t get you where you want to be in 2026 and beyond.

Updates that merely restate a development. Alerts that provide no guidance. Posts that say what happened but not what it means.

This type of content was already forgettable. AI just made it easier to produce at scale, which paradoxically makes it easier for clients to ignore.

The firms that will stand out are not the ones publishing more. They are the ones publishing clearer thinking.

In a market where everyone is using the same AI tools, you have two choices. You can join the crowded line of firms using the AI tool to churn the slop, or you can use it to help you dig down to the hard, unshakeable bedrock of your conviction. The content you publish will show which path you chose.

Ready to move from being a source to becoming the destination? The lawyers who treat thought leadership as a core part of client service, not a marketing obligation, will own the attention that matters. And increasingly, they will own the AI citations and become the source, which matters even more.

Start by asking: If ChatGPT were answering a question in your practice area, would it cite your content? If not, stop writing summaries and start sharing judgment.

The post Why Perspective-Driven Thought Leadership Is the Antidote to AI Slop appeared first on By Aries.

She’d spend hours buried in her office doing research. Pulling together market intelligence, analyzing the partner’s practice area, reviewing their book of business, identifying cross-selling opportunities. All of this just to build a skeleton of a plan. Then she’d finally get in a room with the lawyer and walk them through it, and they’d react, push back, add context she didn’t have, and reshape the whole thing.

The prep work was the bottleneck. The actual strategic conversation was the valuable part. But she couldn’t get to the conversation without doing the prep work first.

Now she uses CustomGPTs to build that skeleton. The research, the initial structure, the first draft of strategic recommendations. What used to take her a full day now takes a fraction of that. But here’s what actually changed: she’s not buried in her office anymore. She’s in the room with lawyers, having conversations, gathering insight, and building relationships.

She recently shared this approach with a roundtable of CMOs. Most of them had never heard of anyone doing this.

That gap tells us something important about where legal marketing is right now. And it’s not a technology gap. It’s a mindset gap.

The Shift From Doing to Orchestrating

When most people talk about AI adoption, they talk about efficiency. Faster turnaround. More output. Doing the same work in less time.

But that framing misses the bigger transformation.

The real shift isn’t about doing your current job faster. It’s about changing what your job actually is.

Think about what our BD manager’s role looked like before: researcher, analyst, document builder. She was producing deliverables. Now think about what her role looks like after: strategist, facilitator, relationship builder. She’s orchestrating outcomes.

The deliverable (the BD plan) still exists. But she’s not the one building it from scratch anymore. She’s the one shaping it, refining it, and most importantly, using it as a tool to have better conversations with the lawyers she supports.

This is what an AI-ready team looks like 18 months from now. The mundane, repetitive work gets handled by GPTs, agents, and automated workflows. The humans orchestrate. They review, they refine, they build relationships, they extract insight from subject matter experts, they hold lawyers accountable to business development commitments.

The biggest challenge in legal marketing has always been getting information out of lawyers. They’re busy. They don’t have time for marketing. You have to physically get them in a room and pull the insight out of them so you can turn it into something marketable.

Imagine if your team had more time to do exactly that. Less time buried in research and document production. More time in strategic conversations. More time building the relationships that actually drive business development forward.

That’s not a productivity gain. That’s a role transformation.

If You’re the One Leading This Change

If you’re a CMO or marketing leader reading this, you might be thinking: “This sounds great, but I can’t even get partners to approve a website update without three rounds of revisions. How am I supposed to drive AI transformation?”

Fair. The political reality of law firms is real. Partner resistance, risk-averse management committees, tools that get approved but are so locked down they’re useless for actual strategic work. We’re working with a CMO right now whose firm gave her an AI tool that can’t access the web or provide the kind of insight she actually needs. The technology exists, but the organizational willingness to use it doesn’t.

Here’s what we’ve seen work: stop trying to win the argument with logic alone. Start showing them what their competitors are doing.

This might look like a roadshow presentation that benchmarks your firm’s AI adoption against peers. It might mean surfacing what marketers at competitor firms are sharing in webinars and at conferences about their own AI initiatives. It might mean pushing partners to attend roundtables where they’ll hear from their peers directly, or sending them podcasts where managing partners at other firms discuss how they’re leading AI transformation.

The goal is to plant seeds. Make the status quo feel uncomfortable. Help the management committee see that standing still is actually falling behind.

This is often a longer play than a single presentation. It might involve bringing in outside consultants who can speak to industry-wide trends with more authority than an internal team. It might mean commissioning an audit that benchmarks your AI capabilities against the market. It might mean strategically exposing decision-makers to information from sources they trust more than their own marketing department.

None of this is fast. But it works. The firms that are moving on AI adoption didn’t get there because someone made a compelling deck. They got there because leadership became convinced that the risk of inaction was greater than the risk of change.

Your job isn’t just to advocate for AI. It’s to change the information environment around the people who make decisions.

Why This Shift Is So Hard

Law firms have deep institutional muscle memory that resists change of any kind. AI just inherits all of that baggage.

We see this pattern constantly, even in contexts that have nothing to do with AI. A marketing director proposes reallocating sponsorship dollars away from events where partners consistently don’t show up. The data supports it. The logic is clear. But certain partners have relationships with certain organizations, and those relationships matter more than the ROI analysis.

The sponsorships stay.

This same dynamic plays out with technology adoption. Marketing teams that can’t update the website without partner approval on every word. Business development initiatives that die in committee. Investments that get delayed for years because no one wants to be the one who pushed for something that failed.

When AI enters the conversation, the stated objections are usually about ethics, confidentiality, or quality control. Those concerns are legitimate. Lawyers do have professional obligations around supervising work product.

But there’s another dynamic that doesn’t get said out loud often: AI makes workflows more visible. It creates accountability. And if some lawyers already don’t review their own work as carefully as they should, AI doesn’t create that problem. It just makes it harder to ignore.

That’s a harder conversation to have than “we’re concerned about confidentiality.”

The Humility Piece

Here’s something we’ve learned from using AI in our own work at By Aries, and it’s not what you’d expect.

One of the best use cases for AI isn’t producing content faster. It’s challenging our own assumptions.

We’ll put together a strategy we’re confident in, then ask AI to poke holes in it. Find the gaps. Identify assumptions we’re making about our audience or our ideal client that we haven’t examined. Show us where our technical knowledge is more sophisticated than the average buyer of our services, and where we need to make it more accessible.

It’s humbling. We all want to believe we’re thorough, that we’ve considered every angle before we walk into a room with a recommendation. And then AI points out something obvious that we overlooked.

There’s nothing more professionally uncomfortable than sitting in a meeting and having someone raise a legitimate objection you hadn’t considered. Having to say “I hadn’t thought of that” or “let me get back to you” when the gap was avoidable.

AI doesn’t eliminate that possibility. But it dramatically reduces it. You can stress-test your thinking before you’re in the room, not during the meeting itself.

Now, a caveat: AI can be biased. It has blind spots. It’s not an oracle. But used well, it provides perspectives you wouldn’t have generated on your own. And that makes your work stronger.

This isn’t about outsourcing your thinking. It’s about pressure-testing it.

Where to Start: The Friction-First Framework

When someone tells us they want to start using AI but don’t know where to begin, we ask them one question:

What’s the work you hate doing?

Not the strategic work. Not the relationship-building. The tedious, repetitive, soul-draining work that bottlenecks everything else.

People always know the answer immediately. Chambers submissions. RFP responses. Experience database updates. The prep work that has to happen before the real work can begin.

Once you’ve identified that friction point, here’s how to move forward:

Step 1: Map the process.

Write down every step involved in completing that task. Not the high-level version, but the actual sequence.

Take Chambers submissions as an example. You receive the request. You identify which matters to submit. You determine how to evaluate which matters are worth including. You figure out who needs to give client approval. You schedule time with lawyers to get their input. You draft the summaries. You get them reviewed. You compile and submit.

Most tedious tasks are actually multi-step workflows. You can’t figure out where AI helps until you’ve mapped what help would even mean at each stage.

Step 2: Identify where AI can fit.

Look at each step and ask: could AI assist here?

Maybe AI scans the experience database to surface potential matters worth submitting. Maybe it drafts initial meeting agendas for lawyer conversations. Maybe it creates first-draft summaries based on matter descriptions that lawyers then review and refine. Maybe it pulls contact information from the CRM to identify who needs to approve client mentions.

Not every step will benefit from AI. Some steps require human judgment, relationship navigation, or institutional knowledge that AI doesn’t have. That’s fine. You’re looking for the steps where AI can reduce friction, not replace the whole workflow.

Step 3: Define your inputs and outputs.

Before you build anything, get clear on what information you need to gather (inputs) and what the deliverable should look like (outputs).

Is the output a list of potential matters? A first draft of a submission? An agenda for the kickoff meeting with lawyers? An outline that structures the final document?

Getting specific about the output shapes everything else. A tool that produces “a draft” is too vague. A tool that produces “a 200-word matter summary including client name, practice area, key outcomes, and why this matter demonstrates excellence” is something you can actually build and evaluate.

Step 4: Build and test.

Now you can decide what technology fits. Is it a CustomGPT with specific instructions for this workflow? Is it Copilot features within your existing tools? Is it an integration between your CRM and a drafting tool?

Start small. Build for one specific use case. Test it with one person on your team. Refine based on what actually works. Then expand.

The mindset shift follows the practical value. When someone experiences AI actually solving a problem they hate dealing with, they stop being skeptical. They start looking for the next friction point to address.

The Competitive Reality

One more thing worth saying directly: your competitors are already doing this.

When we need to convince skeptical partners about AI adoption, we don’t lead with abstract arguments about innovation. We show them what competitor firms are doing. The webinars their peers are presenting. The ALM research on AI adoption in the legal industry. The Thomson Reuters surveys showing where the industry is heading.

A marketer equipped with AI can do competitive intelligence faster, build deeper research on prospects, draft better pitches, and get into the mindset of the client more effectively than a marketer without those tools.

When firms restrict their marketing teams from using AI, they’re not protecting the firm from risk. They’re handicapping their marketers in a competition where the other side isn’t similarly constrained.

And this gap compounds. The firms building AI capabilities now are developing institutional knowledge that will be very hard to catch up to later. The best marketing talent (the people who want to learn these skills) will eventually leave for places that let them use them.

The objection we hear sometimes is: “AI can’t replace me, so I don’t see why I should learn it.”

That’s the wrong perspective. The question isn’t whether AI replaces you. The question is whether you’re using it to become irreplaceable.

What Becomes Possible

Picture your team 18 months from now, assuming you get this right.

Your people aren’t buried in research and document production. They’re orchestrating AI tools that handle the first drafts, the data synthesis, the repetitive analysis. They spend their time on what actually requires human judgment: building relationships with lawyers, extracting insight, holding partners accountable to business development commitments, shaping strategy.

The work that comes out of your department is higher quality because there’s actually time to do the prep work well. Lawyers are more engaged because marketers have bandwidth to get them in the room and have real conversations instead of chasing them for input on documents built in isolation.

Marketing stops being seen purely as a cost center and starts being recognized as a strategic function. Because your team is doing strategic work, not just producing deliverables.

That’s the shift. Not “we use AI now.” But “we work differently now.”

Moving Forward

Building this capability isn’t complicated, but it does require intention. You need governance so people know what’s safe to use and how. You need practical training that connects AI to real workflows, not just abstract prompting exercises. You need someone accountable for building and maintaining prompt libraries. And you need early wins that show skeptics what’s possible.

If you want help building that systematically, for yourself or for your team, that’s what our AI enablement program is designed to do. Not just literacy (understanding what AI can do) but fluency (knowing how to apply it to your actual work in ways that change what you’re capable of).

The firms that figure this out will have marketing teams that are faster, more strategic, and more competitive. The firms that don’t will watch their best people leave and their competitors pull ahead.

The transformation is available. The question is whether you’re ready to make the shift.

The post The Real AI Shift: From Doing the Work to Orchestrating It appeared first on By Aries.

But here’s the thing: LinkedIn’s latest B2B data says 94% of buyers build trust on consistency, authenticity, and emotional connection. Not just accolades.

That’s a problem, because most law firm content still plays it safe. It feels cold and transactional. It says, “We’re experts,” but not, “We get you.”

Time for a strategic pivot

Here’s the uncomfortable truth:

We’re in the middle of a B2B brand shift, and law firms are lagging behind. Not because they don’t have smart people, but because they’re stuck in what I call the Expertise Trap: the belief that technical knowledge alone earns trust.

It doesn’t.

Clients want to work with people who understand their world, not just flex their legal IQ. And if your firm’s content doesn’t reflect that shift, you’re leaving connection (and revenue) on the table.

From Case Wins to Storytelling: What Actually Builds Trust

Most firms confuse proof with trust.

You see it in every other LinkedIn post: another deal closed, another lawyer ranked. That’s fine. But it’s not trust-building. It’s résumé-building.

Trust comes from showing you understand your clients’ world, not just the legal world. That you’ve walked the floor, not just read the statute.

Position your lawyers as guides, not gurus. The kind who say, “We’ve seen this before and here’s how we’ll help you through it.”

Values Are the New Differentiator

Clients want to know your position, not just your practice areas.

Staying neutral might feel safe, but it’s a fast track to becoming forgettable. CMOs know this: in a values-driven market, the middle of the road is the most crowded lane.

Your clients want to align with firms that share their ethics, their energy, and their worldview. That doesn’t mean picking fights. It means showing what matters to you and how that shapes how you work.

Let Your Lawyers Be Brands

The myth: One firm voice equates to one strong brand. The truth: People trust people.

Lawyers with distinct voices and regular visibility build business. Period. We’ve seen attorneys get media calls, keynote invites, and six-figure matters just by showing up consistently with a clear POV.

That’s not luck; it’s leverage. Visibility builds trust. Trust drives growth.

If your firm’s most visible lawyer is your weakest communicator, your brand has a leadership problem.

If your firm treats personal branding like a liability, you’re already behind.

The New Social Media Spectrum

Too personal? Too stiff? Most lawyers are asking the wrong questions.

Here’s a better one: “Am I creating a connection or just checking a content box?”

Oversharing rants? Not helpful. Ghosting LinkedIn except to ‘like’ a firm post? Also not helpful.

Find the middle ground: show up consistently with a point of view that doesn’t feel sanitized by committee. If your LinkedIn voice reads like a compliance memo, it’s not human; it’s invisible.

Is Your Legal Brand Earning Trust or Eroding It?

Brand Trust Scorecard

• Review your last 30 LinkedIn posts.
• Count how many showcase values, voice, or vulnerability.

Fewer than 10? It’s time for a strategic update.

Ready to raise your Brand Trust Score? Let’s talk about where your content and your lawyers can lead.

The post Legal Branding Needs a Rebrand: Why Trust Isn’t Built on Expertise Alone appeared first on By Aries.

This isn’t a piece to skim. It’s one to save and share.

An AI prompt won’t save you if you aren’t building a strategy.

Generative AI without strategic intent won’t save time, elevate your firm’s brand, or strengthen its credibility or authority. Law firm CMOs don’t need another overhyped keynote –  they need a roadmap to implement generative AI without weakening the firm’s voice, misusing lawyer time, or inviting unnecessary risk.

This isn’t about automating everything. It’s about knowing what should be automated, what must remain human, and how to lead your team through the shift.

Generative AI Can Draft. But Only Insight Can Lead.

Before you decide where generative AI fits, you have to ask: what insights are we scaling? Because if there’s no strategic substance to begin with, you’re just automating noise.

Reputational dilution at the partner or practice level isn’t just embarrassing; it erodes lawyer trust and undermines the law firm marketing department’s credibility. 

The best legal marketing doesn’t start with a prompt. It starts with a perspective that resonates with your clients and reflects the expertise within your firm.

What generative AI can do is accelerate execution:

• Turning lawyer interviews into structured content.
• Reformatting a strong idea across multiple platforms.
• Reducing the time between idea and output.

You can’t delegate insight. You can only scale it with care.

The 4 Rs of Generative AI Strategy for Law Firm CMOs

Bold prediction: Within the next 18 months, most AI initiatives in law firms will stall, not because of the technology, but because leaders failed to assign ownership, train broadly, or measure the right outcomes.

Think of generative AI not as a lighthouse casting a wide, unfocused beam, but as a spotlight: targeted, intentional, and only as powerful as the insight it shines on.

This framework reframes AI not as the creator, but the amplifier. When CMOs apply these 4 Rs, they bring strategy back to the center:

Here’s how to focus that beam:

A Real-World Take on Working with Generative AI for Content Development

I’ve used generative AI extensively to help draft content, and while it’s useful, it routinely misses the mark in tone and audience fit. It often confuses B2C and B2B priorities, suggesting language and formats that feel off-key for professional services. Worse, it can flatten messaging that needs precision.

AI doesn’t understand what it’s like to market a law firm with complex stakeholders, regulatory nuance, or consultative BD cycles. It doesn’t know what it’s like to collaborate with lawyers, i.e., people who value precision, resist fluff, and scrutinize everything. That’s not something you teach a model. It’s something you learn from years of navigating the tension between what marketers want to say and what lawyers will sign off on.

And just as marketers know their lawyers, lawyers know their clients. The nuance, insight, and situational understanding needed to connect those dots can’t come from AI; it comes from real conversations, industry exposure, and day-to-day legal problem-solving.

“Generative AI knows the legal lingo, but only practicing lawyers know what really matters to their clients.”

Clarify Use Cases Before You Chase Tools

Buying the latest generative AI tool won’t fix workflow issues, stakeholder delays, or content that lacks direction. And we’ve seen this pattern before with CRMs, proposal databases, and even YouTube channels. Firms invest in tools, only to let them sit idle because there’s no clear use case or ownership. AI will be no different if adoption isn’t driven by strategy, not novelty.

Instead, align your use of generative AI to real friction points:

• Is your team spending too much time formatting pitch decks? Use AI.
• Is it hard to get lawyers to write articles? Use AI to start from their webinars or presentation decks.
• Need to personalize content for five industries? Let AI adapt, not originate.

Sharper idea: Stop launching tools. Start solving for friction.

Field test: Questions Every CMO Should Ask Before Investing in Generative AI

• What business problem are we solving?
• Who owns the workflow that AI will support?
• How will we define success in 90 days?
• What will we stop doing if this works?

If you can’t answer all four, your AI plan may be a content experiment, not a strategic initiative.

Train for Fluency, Not Just Usage

If AI stays locked in the hands of one “power user,” you’re setting your team up for dependency, not scale.

If you’re a CMO watching your team rely on one AI power user, consider:

• Learning prompt strategy, not just prompt syntax.
• Understanding AI strengths and blind spots.
• Knowing when to trust an output and when to delete it.

Make AI fluency a team competency, not an individual quirk.

CMO takeaway: If you’re not budgeting for AI fluency, you’re just buying shelfware. 

Value First. Then Credentials.

Generic content leads with credentials. Strategic content leads with relevance and relevance drives ROI-producing metrics: increased client engagement, higher partner confidence in marketing, and more meaningful follow-ups from thought leadership content.

Use generative AI to:

• Tailor content to client roles, regions, or industries.
• Summarize lengthy insights into snackable takeaways.
• Generate alternative versions of one great idea.

But always begin with: what problem does this solve for the reader?

When you lead with value, you earn the right to credential.

“Use generative AI to scale clarity. Not ego.”

Measure What Actually Matters

Don’t just measure how much more content you’re producing.

Track:

• Efficiency: Time-to-publish, edits per draft, output volume.
• Engagement: Scroll depth, form fills, shares, CTA interaction.
• Quality: Compare AI-assisted and human-authored content. Ask stakeholders what they notice.

Build a velocity-versus-value dashboard. If you can’t answer, “what did AI accelerate and what did it improve?” in under 30 seconds, you’re measuring the wrong things. Make it cross-functional. Make it visible.

Generative AI Doesn’t Replace Headcount. It Demands Better Resourcing.

Efficiency isn’t capacity.

As generative AI speeds up output, it’s tempting for firms to reduce investment. That’s a mistake.

The real work now isn’t easy; it’s strategic:

• Auditing voice, so you don’t erode brand trust.
• Elevating content, so internal teams recognize your output.
• Coaching stakeholders, so you don’t end up polishing last-minute junk.
• Training marketers, so AI doesn’t become a crutch for creativity.

Final word: Doing more with less doesn’t mean doing it with no one.

TL;DR for Law Firm CMOs

CMO Self-Check: Is Your AI Strategy Strategic?

Ask these six questions in your next leadership meeting. If you hesitate on more than two, it’s time to realign.

1. Do we have an established point of view worth scaling?
   If not, AI will just multiply mediocrity.
   
2. Is there a documented list of friction points AI is solving?
   Not a wishlist. A real list.
   
3. Do our marketers know how to prompt, edit, and challenge AI output?
   Fluency beats novelty.
   
4. Can we connect AI use to partner satisfaction or client outcomes?
   Not yet? Then you’re missing your north star.
   
5. Is our measurement plan visible, simple, and reviewed monthly?
   If not, AI becomes a black box.
   
6. Have we defined the human work AI enables, not just what it replaces?
   Efficiency is easy. Strategy is more valuable.
   

Score:

• 5–6 Yes = You’re leading.
  
• 3–4 Yes = You’re iterating.
  
• Less than 3 Yes = You’re experimenting—without a strategy.
  

Save It. Share It. Lead with It

Want to bring this thinking into your firm? Our AI Enablement for Law Firm Marketers programs equip legal marketing teams with the AI literacy necessary to confidently implement generative AI.

Need to pressure-test your AI roadmap with peers who’ve faced the same stakeholder resistance, tech skepticism, or brand concerns? Martech Mindshare is where law firm marketing leaders compare strategies, not software demos.

The post The Real Playbook: How CMOs Should Actually Use Generative AI in Legal Marketing appeared first on By Aries.

Why AI is forcing law firms to rethink their teams, not just their tools

Your marketing team isn’t just overworked; it’s also on the verge of being outdated.

Most legal marketing teams are still hiring for speed and task execution when what they need are thinkers, testers, and process builders. The teams that thrive in this AI era aren’t the busiest. They’re the most intentional.

So, what’s a CMO to do? Start redesigning. Not just your tech stack but your talent stack.

Most law firm marketing teams are reacting to AI in one of three ways: some are building, some are tinkering, and a lot are firefighting. Where you land depends not on your tools, but on your firm.

Your Swiss Army Knives Are Dulling. Fast.

For years, legal marketing teams were built around resourceful generalists. These marketers could write a newsletter, chase down a partner for feedback from Chambers, and manage the firm’s social media, all before lunch.

But here’s the problem: AI now does 80% of that…faster. And if we’re honest, sometimes better.

As Kieran Flanagan, Chief Marketing Officer at Hubspot, describes, marketers thriving in the AI era aren’t faster, they’re deeper. They’re curious, prompt-literate, agent trainers, and taste-makers who use AI to scale not just production, but discernment and strategic clarity. These are the “new specialists” not defined by tasks, but by traits.

So what happens to the marketer who was praised for being able to do everything… now that everything is being automated?

The firms that are winning right now aren’t downsizing. They’re re-specializing:

• Turning “assistants” into client experience strategists
• Training writers to become prompt engineers and AI editors
• Building functional depth in analytics, martech, and communications
• Designing teams that align with practice group growth, not just event calendars

If your marketing team still looks like a to-do list with legs, it’s time to evolve. 

Execution is getting easier. Interpretation — the ability to connect work to business strategy — is now the skill that sets teams apart.

Here’s the question to ask at your next leadership meeting:

If you’re not sure which you’re leading, let these examples guide you:

• Tool users ask AI to write their LinkedIn posts. Tool trainers teach AI to interview their lawyers and extract authentic insights that only their firm could provide.
• Tool users prompt AI for generic thought leadership topics. Tool trainers build systems that identify market trends specific to their client base and practice areas.
• Tool users treat AI as a faster way to do the same old work. Tool trainers use AI to do work that was never possible before like analyzing competitor positioning at scale or developing personalized content strategies for individual partners.

When you build that first custom GPT or train an AI system for your specific needs, you stop being someone who uses AI and start being someone who shapes how AI works for your firm’s unique requirements.

Leadership Can’t Sit This One Out

CMOs are stretched thin. This tech shift isn’t waiting for you to catch your breath, and waiting for consensus won’t create clarity.

Too many are treating AI like a side project — a pilot here, a prompt there — quietly hoping someone else will figure out how to scale it. IT gets the nod. A coordinator experiments. However, the initiative rarely starts where it should: with marketing leadership.

As Andy Crestodina writes in his AI Proficiency model, marketers must elevate their use of AI from a task tool to a process partner. But here’s where most teams get it wrong: they’re asking AI to do their work for them instead of asking it to help them think through problems they’re already equipped to solve.

According to Thomson Reuters’ Future of Professions Report, “AI is not just automating tasks. It is transforming the role of the professional — from information processor to insight generator.” Yet, “Only 8% of legal professionals say their organization has a fully implemented AI strategy, compared to 15% in tax and accounting.”

If your AI strategy doesn’t include marketing leadership, it’s not a strategy. It’s a technology rollout.

And it shows.

We’ve seen firms debate font choices longer than they’ve spent discussing where AI fits in their proposal process. One firm spent three meetings arguing over the right shade of green for their logo, and less than 15 minutes on their AI roadmap.

It’s not that CMOs don’t care. It’s that no one’s been given the bandwidth — or the mandate — to lead the hard conversation.

That needs to change.

That means:

• Partnering with CIOs to build an integrated AI and data strategy
• Mapping tools against actual marketing pain points, not just what vendors promise
• Leading governance efforts around usage, risk, and brand integrity
• Defining how automation fuels creativity, not just efficiency
  

You wouldn’t outsource your brand strategy to the help desk. Don’t outsource your AI roadmap either.

Not Every “AI Tool” Is a Strategy. Or Even Useful.

Right now, everyone from your CRM vendor to the intern’s favorite app claims to be “AI-powered.” Translation: half-baked features wrapped in buzzwords.

Some of these tools will overpromise. Others will underdeliver. And most will leave your team stuck somewhere between confused, overwhelmed, and quietly reverting to spreadsheets.

Here’s what happens when leadership stays on the sidelines:

• Redundant platforms stack up like digital clutter
• Training gaps lead to shadow workflows and lost trust
• Budget burns on tools no one uses past the demo

The real risk isn’t bad tech. It’s making critical decisions without a clear, aligned leadership lens.

CMOs need to ask not, “Does this have AI?” but:

“Does this solve a unique problem, work with our people, and deserve a place in our process?”

Stop Measuring Speed. Start Rewarding Ingenuity.

If your team’s top performer is the one who sends the most emails or checks the most boxes, you might be unintentionally rewarding burnout.

Don’t let your best people burn out doing their best work in the wrong roles.

According to Thomson Reuters’ Future of Professional Report, “41% of professionals cited lack of skills as the top barrier to AI adoption in their organization, above concerns about data privacy or job loss.”

In an AI-enabled world, speed is a baseline. Innovation is the differentiator.

Start asking:

• Who’s experimenting and documenting what works?
• Who’s using automation to level up their insights, not just their output?
• Who’s proposing systems, not just running them?

Innovative firms are shifting from valuing volume to valuing vision. Your recognition structure should follow.

Which Kind of Team Are You Leading?

Not every team is in the same place, and not every CMO has the same bandwidth to evolve quickly. But understanding where you are now is the first step to moving forward.

In 2025, most legal marketing teams will fall into one of three buckets:

• The Builders – Teams embracing change, upskilling, restructuring, and redefining their value
  
• The Tinkerers – Teams testing tools and experimenting, but without strategic direction or leadership alignment
  
• The Firefighters – Teams so buried in urgent tasks and internal politics that evolution feels impossible

Which one are you leading? And more importantly, which one will your firm need you to lead a year from now?

Culture is the next frontier, and it starts with time.

Give Your Team Time to Think or Watch Them Leave

Chronic overwhelm isn’t a badge of honor. It’s a business risk.

The teams that thrive in this next era will be the ones with white space — protected time to explore, question, and reimagine how they work.

That means:

• Cutting the busywork (starting with the 47-tab pitch tracker)
• Implementing tools that reduce friction instead of adding to it
• Creating “think time” like it’s a line item on your P&L

Because if your team never has time to breathe, they’ll never have time to build.

Training Is a Loyalty Strategy. Act Like It.

The marketers you want to keep are not afraid of AI. They’re afraid of being left behind.

And they won’t stay just because you gave them a title bump and a slightly better monitor.

They’ll stay because you:

• Offer real learning pathways (not just a webinar once a quarter)
• Give them stretch assignments that feel risky and supported
• Create a culture where experimenting is praised, regardless of the outcome.

If you want your team to grow with you, invest like you mean it.

Guardrails Aren’t Optional. They’re the Plan.

Trust is the legal industry’s oxygen. That doesn’t make AI off-limits; it makes governance mandatory.

Set expectations before you scale experiments:

• No client data in unsecured prompts
• Clear documentation and human review protocols
• Designated AI “safe zones” (think: internal content, not client alerts)

Responsible AI is not just possible. It’s expected. And leadership sets the tone.

Final Thought: It’s Not the Tools. It’s How You Think.

The firms that thrive in this new era won’t be the ones who collect the most apps. They’ll be the ones who:

• Encourage experimentation 
• Empower marketers to act like consultants
• Align marketing with actual business impact

The real disruption isn’t generative AI. It’s the opportunity for your team to lead in ways they’ve never been empowered to before.

As both marketing leaders, Flanagan and Crestodina, emphasize in their work, what separates high-performing marketers isn’t the tech stack; it’s the mental model. The future isn’t about using AI faster. It’s about thinking with AI smarter.

The most successful legal marketing teams aren’t the ones collecting the most AI tools. They’re the ones who’ve learned to use AI as a thinking partner; someone who helps them solve problems they’re already equipped to handle, but at a scale and depth that was never possible before.

This mental shift from “AI as magic answer machine” to “AI as thinking partner” is what separates teams that automate busywork from teams that amplify strategic thinking.

Whether you’re leading Builders, Tinkerers, or Firefighters, the goal isn’t to optimize what you’ve got. It’s to reimagine it.

AI is moving fast. But leadership can still move faster.

Take Action: Assess and Evolve Your Team

Want to know where your team stands? Use our Strategic Marketing Team Audit Checklist. 

Need a partner to guide your next steps? Let’s talk about what modern marketing leadership looks like and how to build it from within.

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