US Legal Firms in Wikidata: Coverage Report February 2026

How many US law firms are represented in Wikidata—the open knowledge graph that AI assistants like ChatGPT and Perplexity use when answering questions like “find a corporate law firm in Chicago” or “best estate planning attorneys near me”? This report presents February 2026 coverage statistics for US legal firms, compares them to global law-firm coverage, and explains what the numbers mean for practice visibility in AI-powered search.

Key findings

• US law firms (with official website) in Wikidata: 1,812
  We count entities that are instance of law firm (Q6881511), located in the United States (P17=Q30), with an official website (P856).

• US law firms (total) in Wikidata: 2,318
  All US law firm entities in Wikidata, with or without a website. So 78% of US law firms in the knowledge graph have an official website recorded.

• Global law firms (with website) in Wikidata: 24,242
  For comparison, law firms worldwide with an official website. The US accounts for about 7.5% of that total.

• Implication: US law firm coverage in Wikidata is substantial but still a small slice of the estimated number of US practices. Many firms—especially smaller and regional practices—remain absent from the graph and thus invisible to AI assistants that rely on it.

Why this report?

Generative Engine Optimization (GEO) and entity-based visibility depend on structured data. When someone asks an AI assistant for a “litigation firm in Boston” or “IP attorney in California,” systems that consume Wikidata can only surface firms that exist there with the right properties (location, practice area, contact, website). Without a Wikidata entity, a firm is effectively invisible to those answers.

This report uses live SPARQL queries against the public Wikidata Query Service to measure coverage. The methodology is transparent and reproducible; we describe it below so you can interpret the numbers and run similar analyses yourself.

Methodology

What we count as a “US law firm”

We use a simple, consistent definition:

1. Type: The entity is instance of law firm (Q6881511).
2. Country: United States (P17 = Q30).
3. Verifiability (for “with website” counts): Has an official website (P856). This indicates a real, identifiable practice rather than a placeholder.

No exclusion by size or notability; we count all entities that meet these criteria. This aligns with how we model law firms for knowledge-graph publishing and AI discoverability (see Law Firm Visibility in ChatGPT and The Richest Legal Firm Wikidata Entity).

What we count for comparison

• US law firms (total): Same as above but without requiring P856.
• Global law firms (with website): P31 = Q6881511, P856, any country.

Data source and timing

• Endpoint: Wikidata SPARQL.
• Report snapshot: February 2026. Counts were obtained by running the queries in this period; small changes may occur as editors add or remove entities.

Our coverage script runs these same queries and writes results to reports/wikidata-legal-firm-coverage.json for use in future reports and content.

What the numbers mean

US coverage in context

• 1,812 US law firms have an official website and are in Wikidata.
• 2,318 US law firms are in Wikidata in total; the majority (78%) have a website recorded.
• 24,242 law firms globally have a website in Wikidata, so US coverage is a meaningful but modest share.

So Wikidata already reflects a non-trivial number of US law firms, especially those with a recorded website. At the same time, the estimated number of law firms and legal practices in the United States is far larger (hundreds of thousands). The gap means:

• Firms in the graph can be recommended by AI when queries match their location, practice area, and other properties.
• Firms not in the graph are invisible to those same AI answers, regardless of the quality of their website or marketing.

Why many firms are still missing

Possible factors:

• Notability and editing effort: Large or well-known firms often have Wikipedia articles and dedicated editors; smaller and regional practices usually do not.
• Awareness: Many firm owners and legal marketers do not yet think of Wikidata as a channel for AI visibility.
• Data sourcing: Bulk imports tend to focus on certain jurisdictions or firm types; coverage is uneven.

The result is an opportunity: firms that get a well-structured Wikidata entity with website, location, and practice areas can stand out in a segment of the graph that is still far from saturated.

What law firms can do

1. Get your firm into Wikidata with the right type (law firm, Q6881511), country (United States), official website (P856), location, and practice areas where possible. That is the baseline for being considered by systems that read from Wikidata.
2. Add references (e.g. P973 “described at URL”) from your website, state bar listing, or reputable directories so the entity meets notability expectations and is more likely to be trusted by both humans and algorithms.
3. Enrich the entity with coordinates, contact info, and identifiers (e.g. Martindale, state bar) where appropriate, so that “near me” and practice-area queries can match your firm.

For a step-by-step angle, see Law Firm Visibility in ChatGPT and The Richest Legal Firm Wikidata Entity.

Looking ahead

We plan to repeat this coverage report periodically (e.g. monthly or quarterly) and to extend it with:

• Counts by state (already produced by the coverage script when enough entities have location (P131)).
• New and updated law firm entities over time (e.g. via recent-change or revision data).
• Richness metrics (property count, P973/references) to track not only how many firms are in Wikidata but how well they are described.

If you publish or improve law firm entities on Wikidata, you are directly increasing the denominator in future reports and helping close the coverage gap.

Summary

US law firm coverage in Wikidata is substantial relative to other SMB sectors (e.g. medical clinics) but still leaves most US practices unrepresented. Publishing and enriching law firm entities—with official website, location, practice areas, and references—is a concrete way to improve AI visibility and to make future coverage reports reflect a more representative picture of the US legal landscape in the knowledge graph.

Related reading

• Law Firm Visibility in ChatGPT — How law firms get discovered by AI assistants
• The Richest Legal Firm Wikidata Entity — What a strong law firm entity looks like
• Generative Engine Optimization for Law Firms — GEO strategies for legal
• Knowledge Graphs for Legal Firm Discovery — Why structured data matters
• US Medical Clinics in Wikidata: Coverage Report February 2026 — Comparable coverage report for healthcare

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Data for this report was generated using the Wikidata Query Service. Coverage counts are produced by SPARQL queries that follow the methodology above; the same logic is available in the project’s legal firm coverage stats script for reproducibility and future reports.