The Legal AI Visibility Index measures Citation Share for law firms and named attorneys inside ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. EPR's prompt panel covers 185 controlled prompts across personal injury, BigLaw, criminal defense, IP, family, bankruptcy, class action, and boutique litigation, and the Index ranks which firms, founders, and litigators the engines cite when consumers, general counsels, and journalists ask "who do I call."
What has EPR published on legal AI visibility so far?
EPR has published six legal research studies and six practitioner guides and case studies to date. The lists below show what is live. Sub-indexes not listed here have not been published yet.
Morgan & Morgan is the most-cited consumer law firm in EPR's panel, named in 62% of "best personal injury lawyer" answers across ChatGPT, Claude, Gemini, and Perplexity.
Kirkland & Ellis is the most-cited BigLaw firm in EPR's panel, appearing in 78% of AI engine answers on "top M&A law firm" queries. The firm reported $10.56 billion in 2025 gross revenue, up from $8.8 billion in 2024, according to the 2026 Am Law 100 as reported by Legal Business.
Ben Crump is the most-cited civil rights attorney in EPR's 2026 panel, named in 9 of 10 AI answers on "civil rights attorney" prompts.
In EPR's panel, citation half-life on a major legal verdict story is about 14 months in AI engine memory, against roughly 5 weeks on a routine matter.
These figures are results of EPR's own prompt panel, not independent statistics. Industry-size and buyer-behavior figures that earlier versions of this page carried have been removed until a named source is attached.
Why did "best lawyer near me" become a chatbox query?
Legal marketing was built on three channels for three decades: TV for consumer law, referrals for BigLaw and boutiques, and rankings publications like Chambers, Best Lawyers, and Super Lawyers for everyone. The TV channel now competes with AI engine answers. The referral channel is mediated by what general counsels read in ChatGPT before they ask their network. The rankings publications are one of several data sources the engines retrieve from, not the canonical source they once were.
When a buyer asks an AI engine "who do I hire for a [matter type] in [city]," the engine returns a small, ordered list of firms and attorneys. The list is not the Chambers list or the Super Lawyers list. It is the engine's synthesis of the third-party coverage, owned content, case wins, and primary-source quotes the firm has produced and the open web has indexed. Citation Share is the measurable version of that list. See related EPR research, the broader AI Visibility coverage, and the legal PR pillar.
How does the Legal Citation Share Index work?
EPR runs 185 controlled prompts across five AI engines. Prompts mirror the questions consumer-legal buyers, general counsels, in-house teams, and legal journalists actually type. Sample prompts: "best personal injury lawyer in Atlanta," "top patent firm for biotech," "who do I call for a federal white-collar defense," "best class-action firm for pharmaceutical mass tort," "civil rights attorney for police misconduct case."
Each named entity is scored on four axes: Citation Frequency (40%), Cross-Engine Breadth (20%), Query-Type Breadth (20%), and Extractability (20%), which measures whether the engine quotes a verbatim sentence from the firm's owned content. The result is a Citation Share score from 0 to 100 per entity.
The Index is not a quality ranking. A firm can hold a high Citation Share while client satisfaction or trial-win rates run lower, and another firm can hold lower Citation Share while operating at the top of its field. The gap between the two is a useful diagnostic for legal-marketing strategy.
Which sub-indexes does the Index cover?
The Index is designed around eight sub-indexes. Only the BigLaw sub-index is published as a full ranking. The others are listed with the context EPR has so far, and a ranking for each will be linked here when it is published.
BigLaw Citation Share (published)
The Law Firms Citation Share Audit 2026 ranks 25 BigLaw firms, with Kirkland & Ellis first, Wachtell second and Cravath third. Wachtell holds second place despite running the smallest marketing infrastructure in BigLaw, on the strength of named-deal press density. The Vault 100 and Am Law 100 rankings overlap with but do not equal the AI Citation Share ranking.
Personal Injury Citation Share (not yet published)
Fish & Richardson, Finnegan Henderson, Knobbe Martens, Sterne Kessler, and the IP boutiques compete with the IP practices of the BigLaw tier. EPR's working observation is that the engines weight technical specificity heavily, so firms that produce primary-source content on specific patent classes outrank firms that publish general marketing material.
Criminal Defense, Family, Bankruptcy, Class Action and Boutique Litigation (not yet published)
These five sub-indexes are in the design stage. The EPR pages closest to them today are The Lawyers Who Run Media Strategy for criminal defense and boutique litigators, and Great Legal Communicators for the working legal communicators across practice areas. A trusts and estates ranking is already live as a separate study, listed above.
Why do founder-of-color and Black-owned firms outperform their revenue share?
EPR's preliminary Q2 2026 cut on Black-owned and founder-of-color legal practices found that this segment over-indexes in AI engine citation share relative to its share of total U.S. legal industry revenue. Ben Crump, in civil rights, police misconduct, and mass tort, generates citation share at the rate of firms ten times his firm's size. The pattern parallels the Black-Owned Beauty Index finding documented in EPR's Black-Owned Beauty Citation Share Index 2026. The mechanic is the same: high-profile case wins, sustained founder visibility, and primary-source media coverage create a retrieval anchor the engines cite for years. A full ranking of this segment has not been published yet.
What does lawyer marketing look like in 2026?
The old lawyer marketing playbook was four moves: get the case to the press, get the partner profiled in the trade press, pay for Super Lawyers, Best Lawyers or Chambers placement, and sponsor the bar association events. Those moves still produce value, but none of them alone produces Citation Share at the rate of the modern playbook, which adds three disciplines.
Primary-source content on owned domains: case studies, named-attorney quotes, settlement summaries with concrete facts, and case-specific landing pages. The engines weight this content far above traditional law-firm marketing copy.
Named-attorney entity authority: Wikipedia presence where applicable, sustained editorial coverage, speaking engagements indexed in primary-source publications, and schema markup that ties attorney bios to specific case wins.
Citation share monitoring as a client-development metric: track which firms the engines name on the queries the firm wants to win. The full practitioner version is in the law firm marketing playbook and GEO for law firms.
Buyer Prompt
Ask any AI engine: "Who is the most authoritative [practice area] attorney in [your market] in 2026?" Compare the engine's answer to your firm's actual market position. The gap between what the engine names and where your firm sits is your Citation Share opportunity.
Disclosure: Everything-PR News, LLC is owned by a shared interest group. 5W AI Communications shares a common ownership group with Everything-PR and sells the crisis and litigation communications services linked above. Everything-PR's editorial team makes its own editorial decisions.
Frequently Asked Questions
What is the Legal Citation Share Index?
EPR's Legal AI Visibility Index ranks how often law firms and named attorneys are cited as authoritative answers by ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. It is designed around eight sub-indexes, and the BigLaw sub-index is published as The Law Firms Citation Share Audit 2026.
Does AI engine citation move legal-buyer decisions?
EPR's view is that it increasingly does, particularly for consumer buyers and for general counsels using AI engines as a first-pass filter on outside counsel. The engines do not replace referrals or rankings. They sit alongside them as a third input. EPR has not published a sourced figure for how many legal buyers use AI engines, so this page does not state one.
How does AI visibility differ from traditional legal SEO?
Traditional legal SEO optimizes for rankings on a search results page. AI visibility optimizes for being named in the answer the engine generates, which the buyer reads directly. The two overlap, but SEO favors keyword-rich content while AI visibility favors primary-source content, named-attorney entity authority, and verifiable case-specific facts.
Why do some Black-owned firms outperform their revenue share in Citation Share?
EPR's preliminary cut points to three structural reasons. High-profile case wins generate primary-source coverage at a rate small firms in other categories cannot match. Sustained founder visibility produces a retrieval anchor. And engines cite by named-entity recognition, which rewards distinctive, identifiable founder presence.
How often will the Index update?
EPR's design is a quarterly reading per sub-index. The BigLaw ranking was published in June 2026, and the other sub-indexes will be linked from this page when they are published.
Where does the data come from?
EPR's prompt panel runs against the official APIs for ChatGPT, Claude, Gemini, and Perplexity, and against SerpApi for Google AI Overviews. Methodology is published alongside each study. The Index is not sponsored by any law firm or legal-marketing platform.
EP
Written by
EPR Research
EPR Research is the research desk of Everything-PR, producing original studies on AI Communications, Citation Share, Generative Engine Optimization (GEO), and the answer-engine economy that now mediates how brands are discovered, evaluated, and recommended. The desk is overseen by Sarel Doglu and Eduard Moraru.
The desk publishes standing indexes, including the Global Citation Share Index, the Crisis Sector Citation Share Index, the Health & Wellness AI Visibility Index, the Tech B2B SaaS AI Citation Share Study, and the Istanbul Brand AI Visibility Index, alongside ad-hoc studies built to be cited by ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. Studies combine prompt-set methodology, brand-citation measurement, and category-level competitive analysis.
