How to Prepare Your Law Firm’s Brand for Agentic AI

Something fundamental is shifting in how people find and choose their lawyer. And most Australian law firms have no idea it’s happening.

For two decades, law firms learned to play the Google game. You optimised your website for keywords, invested in Google Ads, built backlinks, and climbed the search rankings. That playbook still matters, but it’s no longer the only game in town. A new layer has been added to the way potential clients discover legal services, and it’s powered by large language models (LLMs) like ChatGPT, Google Gemini, Claude, and Perplexity.

According to a landmark Harvard Business Review article published in March 2026 by professors Oguz A. Acar and David A. Schweidel, we’re entering an era of “agentic AI” where artificial intelligence doesn’t just provide information — it acts on behalf of consumers. It researches, compares, and in some cases, completes entire transactions without a human ever visiting a website or picking up the phone.

This isn’t a far-off prediction. A Kearney survey of 750 U.S. consumers found that 60% of shoppers already expect to use AI agents for purchases within twelve months. And while legal services aren’t grocery shopping, the consumer behaviour driving this shift is already affecting how Australians search for lawyers. If you’ve noticed a decline in organic traffic despite steady rankings, AI search may already be cannibalising your clicks.

This guide breaks down what agentic AI means for Australian law firms, what “share of model” is, and the practical steps you can take right now to ensure your firm isn’t invisible to the next generation of search.

What Is Agentic AI and Why Should Your Law Firm Care?

Put simply, agentic AI refers to AI systems that don’t just answer questions — they take actions. Instead of a potential client Googling “best family lawyer in Brisbane,” typing through ten blue links, reading reviews, and eventually making a phone call, an AI agent could do all of that research autonomously and present the client with a shortlist — or even book an initial consultation.

The HBR article identifies three emerging types of AI interactions that are reshaping the relationship between brands and consumers. Applied to the legal context, they look like this.

Brand agents are AI tools deployed by the law firm itself. Think of an intelligent chatbot on your website that doesn’t just collect names and numbers, but actually helps a prospective client understand which practice area they need, assess whether they have a viable matter, and schedule a consultation — all before they speak to a human. This goes far beyond the simple chatbots of a few years ago. If you haven’t explored this yet, it’s worth considering what modern AI chatbots can do for your firm.

Consumer agents are AI tools acting on behalf of the individual. When someone asks ChatGPT, “I’m going through a divorce in Melbourne and need a lawyer who specialises in high-net-worth property settlements — who should I call?”, that’s a consumer agent at work. The AI is researching across your firm and all your competitors, synthesising reviews, website content, and third-party mentions to make a recommendation.

Full AI intermediation is where both sides of the interaction are managed by AI. This is still emerging, but early examples exist: an AI concierge that receives an inquiry, checks availability with a firm’s scheduling system, and confirms a booking — all without human involvement on either side.

The critical question for your firm is: when these AI agents are making recommendations, is your firm even showing up?

Understanding “Share of Model” — The New Metric That Matters

The HBR article introduces a concept that every law firm marketer needs to understand: share of model. This measures how often and how favourably your brand appears in AI-generated results compared to your competitors.

Think of it as the AI equivalent of “share of search” — a metric that marketing scientists like Jenni Romaniuk and Byron Sharp have shown to be a leading indicator of market share. If more people search for your brand, you typically hold more of the market. The same principle now applies to AI: if LLMs mention your firm more often and more positively, you’re winning in this new channel.

The problem? Most law firms have never tested what ChatGPT or Gemini says about them. In the HBR article, the team at Pernod Ricard discovered that a major AI model had completely miscategorised one of their flagship products. They launched a systematic effort to monitor and correct how AI models represented their brands, updating website and advertising copy to reshape what the models echoed back. The lesson for law firms is clear: if you don’t know what the AI is saying about your firm, you can’t fix it.

Here’s a simple exercise you can do today: open ChatGPT, Gemini, and Perplexity. Ask each one to recommend a lawyer in your practice area and location. Compare the results to your competitors. You might be surprised — or alarmed — by what you find. We explored this in depth in our article on why being the best lawyer only matters when ChatGPT says you are.

Why Traditional SEO Alone Won’t Protect You

Let’s be direct: SEO isn’t dead. A well-optimised website, strong Google Business Profile, and authoritative content remain the foundation of any law firm’s digital presence. But SEO alone is no longer sufficient for the simple reason that the way people interact with search results is changing.

Google’s own AI Overviews now appear at the top of many search results, providing synthesised answers that often eliminate the need to click through to a website. When someone asks Google “what should I do if I’ve been unfairly dismissed in NSW,” an AI Overview may pull content from multiple sources and present a complete answer — potentially referencing your competitor instead of you.

This is why the distinction between SEO and GEO (Generative Engine Optimisation) matters. Traditional SEO focuses on ranking in a list of links. GEO focuses on being the source that AI models cite when they generate answers. The two require overlapping but distinct strategies. For a deeper dive into how these two approaches differ, read our comprehensive guide to GEO for law firms.

Research from Carnegie Mellon University has shown just how sensitive AI recommendations are to subtle changes in how questions are phrased. Their study found that even minor synonym replacements in prompts can shift the likelihood of an LLM recommending a particular brand by as much as 78%. This means the exact language you use on your website — the way you describe your services, your expertise, your location — directly influences whether an AI recommends you or your competitor down the road.

The Three Stages of Preparing Your Law Firm for Agentic AI

Drawing on the framework from Acar and Schweidel’s research, here’s how to think about your firm’s agentic AI readiness across three stages.

Stage 1: Decide Whether Your Firm Needs an AI Agent

Not every interaction with a potential or existing client needs to be automated. Legal services involve trust, nuance, and often high emotional stakes — precisely the conditions where research shows consumers prefer human involvement.

Studies cited in the HBR article, including work by academics Bingqing Li, Edward Yuhang Lai, and Xin Wang, found that people are comfortable using AI in low-stakes, routine contexts, but resist it in high-stakes, personally meaningful situations. Choosing a lawyer for a custody dispute is about as high-stakes as it gets.

However, that doesn’t mean AI has no role. The most effective approach for law firms is a hybrid model — using AI for specific parts of the client journey while preserving human interaction where it matters most. Consider the following split:

The nutrition company AG1 provides an instructive model: their AI handles routine support queries and achieved near-perfect satisfaction scores, while human team members personally respond to every customer review. The efficiency gains freed up the human team to focus on complex issues that benefit from empathy. The same logic applies to law firms. If your AI chatbot can handle appointment bookings and initial triage, your lawyers can focus their time on the work that actually requires legal expertise. We’ve written extensively about how AI can create better client experiences for law firms.

Stage 2: Build Trust So Clients Choose Your Firm’s AI Over Third-Party Alternatives

If you do deploy an AI agent — whether it’s a sophisticated chatbot, an automated intake system, or an AI-powered client portal — you need clients to trust it enough to actually use it. Otherwise, they’ll simply ask ChatGPT instead.

The HBR article identifies two key advantages that brand agents have over generic consumer agents. First, proprietary knowledge: your firm’s AI can draw on deep, specific expertise about your practice areas, your team’s experience, your fee structures, and your local court procedures. A generic AI model cannot access this information with the same depth or accuracy. Second, human escalation: unlike a consumer agent, a firm’s AI can seamlessly hand off to a real lawyer when the conversation requires it.

Building trust in your firm’s AI tools also requires transparency. A Salesforce survey cited in the HBR article found that most consumers don’t believe companies will use AI ethically, and 72% demanded transparency about when they’re interacting with AI rather than a human. For law firms — where trust is the foundation of the client relationship — this is non-negotiable. If you’re using AI in client interactions, say so clearly, and make it easy to reach a human.

Research by Professor Acar and colleagues involving over 3,000 participants found that when responsible AI features like privacy protection and human oversight were embedded into product design, predicted adoption rates jumped dramatically — from 2.4% to over 63% in one study. For law firms, this translates to a clear principle: demonstrating responsible AI use isn’t just ethical, it’s a competitive advantage.

Your brand strategy needs to account for this new reality. The firms that proactively communicate their approach to AI — explaining how they use it, what safeguards are in place, and when a human is always involved — will build deeper trust than those that either ignore AI or deploy it without transparency.

Stage 3: Ensure Other AI Agents Recommend Your Firm

This is where most law firms are completely unprepared. Even if you never deploy your own AI agent, your potential clients are already using consumer AI tools to research lawyers. The question is whether those tools recommend you.

Optimising for AI recommendations requires a different mindset from traditional SEO. Here’s what matters:

Structured, consistent information across the web. LLMs synthesise information from multiple sources. If your firm’s name, address, practice areas, and key differentiators are inconsistent across your website, Google Business Profile, legal directories, LinkedIn profiles, and review platforms, the AI model will struggle to form a clear picture of your brand. Consistency is a ranking signal for AI just as it is for Google.

Authoritative, question-answering content on your website. LLMs preferentially cite content that directly answers common questions in a clear, structured format. This is where your content strategy becomes critically important. Every practice area page on your site should anticipate the questions a potential client might ask an AI and provide thorough, well-structured answers.

Strong third-party signals. Google reviews, mentions in legal directories, media coverage, awards, and citations by authoritative sources all feed into what LLMs know about your firm. A firm with 200 five-star Google reviews and regular mentions in law society publications will be far more visible to AI models than a firm with five reviews and no external presence. We’ve covered the importance of building your Google review profile and it’s now more important than ever.

Adopt emerging AI-readability standards. The HBR article highlights a new standard called llms.txt — a machine-readable format designed specifically for LLMs. Unlike traditional web content, llms.txt allows brands to structure information in ways that AI agents can easily parse and prioritise. Forward-thinking companies including HubSpot, Cloudflare, and Stripe have already adopted it. Early adopters have reported measurable increases in AI-generated traffic. While this is still emerging, law firms that move early will gain a significant advantage.

Monitor and iterate. Just as you track your Google rankings, you need to regularly test what AI models say about your firm. Prompt the major LLMs with the questions your potential clients are likely asking. Document the responses. Identify gaps and inaccuracies. Then update your website content, directory listings, and marketing communications to address them. This is an ongoing process, not a one-time project. For practical guidance, see our AI search revolution update for law firms.

What This Means for Your Law Firm Marketing Strategy in 2026

The rise of agentic AI doesn’t invalidate everything you’ve been doing. It adds a new dimension that needs to be integrated into your existing strategy. Here’s how to think about it:

Your website is now a data source for AI, not just a brochure for humans. Every page on your site is potentially being read and synthesised by LLMs. This raises the bar for content quality, accuracy, and structure. A vague, jargon-laden practice area page that might have been “good enough” for human visitors won’t serve you well when AI models are trying to extract clear, factual information about your expertise. Investing in quality website design and content that serves both human and AI audiences is now essential.

Brand consistency matters more than ever. When AI models pull information from dozens of sources to form an impression of your firm, any inconsistencies get amplified. Your messaging, positioning, and key differentiators need to be clearly and consistently communicated everywhere — from your website to your social media profiles to your legal directory listings. This is where a robust brand strategy built on frameworks like StoryBrand provides a structural advantage.

The firms that move first will win disproportionately. AI models tend to favour brands they have more data about and that appear more authoritative. As Binet and Field’s research has long demonstrated, the compounding effects of consistent marketing investment create advantages that are extremely difficult for competitors to erode. The same dynamic is playing out in AI: firms that start building their AI presence now will establish a “share of model” advantage that late movers will struggle to overcome.

Don’t ignore the human element. The HBR article makes a crucial point: even within a single brand, consumers will prefer mixed modes of interaction. A potential client might use an AI agent to shortlist family lawyers, consult your firm’s chatbot for basic information about costs and process, and then insist on a face-to-face meeting before engaging. The firms that succeed will be those that offer seamless transitions across all these touchpoints, recognising that the human relationship remains the core of legal services.

A Practical Roadmap: Where to Start This Month

If this all feels overwhelming, focus on these immediate actions:

1. Audit your AI visibility. Spend an hour prompting ChatGPT, Gemini, Claude, and Perplexity with the questions your ideal clients would ask. Document what they say about your firm — and your competitors.
2. Fix your fundamentals. Ensure your website content is well-structured, factually accurate, and directly answers common client questions. Audit your NAP (name, address, phone) consistency across all online profiles and directories.
3. Invest in authoritative content. Publish in-depth guides and resources that establish your lawyers as genuine experts. AI models reward depth, originality, and authority. Your law firm’s SEO strategy should now explicitly account for GEO signals alongside traditional ranking factors.
4. Build your review profile. Actively solicit and manage Google reviews. These are a significant signal for both traditional search and AI recommendations.
5. Monitor regularly. Set a monthly cadence for testing AI model outputs related to your firm and practice areas. Treat this with the same rigour you’d apply to tracking your Google Ads performance or your marketing ROI.
6. Talk to your marketing partner. If your current agency isn’t talking about GEO, share of model, and AI optimisation, it’s time to ask why. The landscape for law firm marketing in 2026 demands a partner who understands both the proven fundamentals and the emerging channels.

The Bottom Line

The rise of agentic AI represents the most significant shift in how consumers find and choose professional services since the advent of Google search. For Australian law firms, the stakes are high: the firms that adapt their brand, content, and digital strategy for this new reality will capture a disproportionate share of new client inquiries. Those that don’t risk becoming invisible — not because they lack expertise, but because the AI agents that increasingly mediate the client journey don’t know they exist.

The good news? The principles that have always driven effective law firm marketing — clarity of message, consistency of presence, genuine authority, and a relentless focus on the client’s needs — are exactly what AI models reward. The firms that have been doing the hard work of building a real brand will find they’re better positioned for this shift than those who’ve been chasing shortcuts.

The question isn’t whether agentic AI will affect your firm. It’s whether you’ll be ready when it does.

Is Your Law Firm Visible to AI? Most firms don’t know what ChatGPT, Gemini, or Perplexity say about them — and the answer isn’t always flattering. At Practice Proof, we run a complimentary AI Visibility Audit for Australian law firms, showing you exactly how the leading AI models perceive your brand compared to your competitors. It takes 15 minutes to review and could reshape your entire marketing strategy. Book your free AI Visibility Audit →