The Legal AI Visibility Index Explained: What It Measured and What It Did Not

What is the Legal AI Visibility Index?

The Legal AI Visibility Index is a 31-page report published by 5WPR, a public relations firm, with the Haute Lawyer Network in April 2026. Its core claim is that a small group of directories owns the citation layer for legal questions in AI engines, and that law firms have invested in AI for internal work while ignoring whether AI can find them.

The report frames the problem in one line that has been quoted often: lawyers use AI to work faster, and have not yet addressed whether AI will find them. That framing matters for how to read the rest. The authors sell a Legal GEO Audit, so the index is both research and a product introduction. That does not make the findings wrong. It does mean a reader should check which claims are measured and which are argued.

Firm AEO uses the index as a directional source, alongside the Citorian five-engine test of June 2026, which published its method in more detail. The two agree on the main point, and they differ on scope.

How was the audit run, and what did it leave out?

The page states a joint audit in April 2026, three query types, eight practice areas and three Am Law 100 firms as test subjects. It does not state the total number of queries, the engines used, or a definition of one of the three query types. Those gaps limit how far any single number can be pushed.

A careful reader separates what the page says from what secondary articles add. Some retellings name specific engines, but on the page Firm AEO reviewed, the engine list appears only in the description of the paid audit service, and a meta description names a different engine. Firm AEO therefore treats the engine list as unconfirmed.

What are finder, decision and elite queries?

Finder queries ask for a lawyer in a place, elite queries ask for the best firm for a complex or national matter, and decision queries sit between them. The index gives an example of the first two: best personal injury lawyer NYC for finder, best M&A law firm US for elite. It gives no definition or example of a decision query.

Firm AEO's working reading of decision queries is a prompt where the person already has candidates and is choosing, such as a comparison of two named firms. That is an interpretation, not the index's wording. Citorian's separate test used its own prompt types, and the two taxonomies should not be merged into one table.

The tier matters because the roster of cited directories changes with it. A consumer firm competing on finder prompts faces a different set of sources than a corporate firm competing on elite prompts.

• •Finder example from the index: best personal injury lawyer NYC.
• •Elite example from the index: best M&A law firm US.
• •Decision queries: no example or results reported on the page.
• •Practice areas span consumer work (personal injury, family, immigration) and business work (corporate, IP).

Which seven directories does the index name?

The index names Chambers, Legal 500, Super Lawyers, Best Lawyers, Martindale, Avvo and Justia as the seven directories that own the citation layer. FindLaw appears in the finder results but is not on the seven list. The tier where each directory appears is reported for some and not for others.

The split by tier is the practical finding. Super Lawyers ranked first for finder queries, with Justia immediately below, then Avvo, Martindale and FindLaw, and firm websites ranked below all of them. For elite queries, Chambers held multiple positions, Legal 500 held parallel positions, and Bloomberg Law appeared with transaction data.

Why did Cravath's own pages rank below Chambers profiles?

Because engines retrieve passages from sources that describe a firm independently, and a directory profile is such a source. For the query Cravath, Swaine and Moore M&A expertise insights, the index reports the top six results as two Chambers profiles, two Cravath practice pages, one Legal 500 profile and one Chambers Global profile.

The finding is narrower than it sounds. Cravath's own pages did appear, in the top six. What the index shows is that directories took more of those positions than the firm's own content. The report says Kirkland and Skadden also appear inside directories rather than as independent voices.

The lesson for a smaller firm is the opposite of discouraging. If a firm with an Am Law 100 brand does not control its own citation, a firm should not expect its website alone to carry its visibility. Firm AEO treats the website as one source among several that the engine reads.

What is the visibility paradox?

The visibility paradox is the gap between lawyers adopting AI and lawyers being found by AI. The index cites Clio's 2025 data that 79% of legal professionals use AI tools, 87% at large firms and 71% at solo firms, and pairs it with its finding that no law-focused editorial source appeared in top results for any legal query tested.

Those two numbers measure different things, and the pairing is a rhetorical device rather than a causal result. Internal adoption says nothing about whether an engine names the firm. Firm AEO uses the paradox as a prompt for measurement, not as proof that adoption and visibility are linked.

The no editorial sources claim is also worth reading precisely. It says law-focused trade publications did not appear in top results for the queries tested. It does not say the engines ignore press. Citorian's test found Attorney at Law Magazine at 7% of citations in its personal injury sample, which is a different query set and a different result.

Which numbers in the index should a firm treat with caution?

Three kinds of number need care: the Google AI Overview rates, the hallucination count, and forward-looking claims. Each is real as reported, and each carries a limit that the headline version drops.

The AI Overview figures come from Ahrefs, not from the audit itself. They are 23.6% of legal queries and 57.9% of question-style legal queries, across 146 million SERPs. Other studies report very different rates for legal queries because they sample different query mixes, which Firm AEO covered in its post on rankings holding while traffic fell.

• •AI Overview rates: 23.6% of legal queries and 57.9% of question-style legal queries, per Ahrefs as cited by 5WPR. SE Ranking's 2025 YMYL study reported 77.67% for legal, and its June 2024 broad study reported 0.34%. The spread tracks query mix.
• •Hallucination count: 487 documented AI hallucination cases in US court filings in 2025, more than ten times the 2024 total, with 37.8% involving licensed attorneys. This describes filings, not engine citation of firms.
• •The 24-month window: the report describes a period to establish citation authority. That is a forecast. No measurement on the page supports the specific duration.
• •Market size and tool adoption: the report cites a US legal services market projected at $408 billion for 2025 and a CoCounsel user milestone. These are context for the sales case, not findings about visibility.

How does the index compare with the Citorian test?

The two agree that directories dominate and differ in method, scope and transparency. Citorian's June 2026 test ran 359 answers across ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews in five US cities and published source shares. The 5WPR index spans eight practice areas and three Am Law 100 firms but discloses less about its query set.

Citorian is a personal injury study and the index is cross-practice, so each answers a question the other cannot. Together they support one conclusion with different weights.

What should a consumer law firm do with the index?

A consumer firm should act on the finder tier and ignore the elite tier. The finder roster is Super Lawyers, Justia, Avvo, Martindale and FindLaw, and those are the profiles that decide whether an engine names the firm for a local prompt. The work is complete, consistent and verifiable listings, then a test of whether the engines respond.

The order below follows the finder findings. It is a sequence of marketing tasks, and the firm's ethics counsel decides what each listing and claim may say.

• •Claim and complete the Super Lawyers, Justia, Avvo and Martindale profiles. Use one name, one address and one phone number across all of them.
• •State only what Model Rule 7.1 lets the firm publish: no outcome guarantees, no unverifiable superlatives, and no ranking that the firm cannot source.
• •Run 20 to 30 finder prompts that name the city and practice area, and log which directories and firms appear. Date the log.
• •Re-run the same prompts after profile changes, and treat the result as one firm's sample rather than a market statistic.
• •Do not pursue Chambers or Legal 500 placement for a consumer practice unless the firm also does matters those directories rate.