The Data Foundation for IP & Legal
Patexia (patexia.com) scores 84 out of 100 on Brand Analyzer, placing it in the Strong Brand tier among Legal brands, SaaS brands, Technology brands, in the 93rd percentile of 5374 Legal brands.
Patexia is a legal technology company founded in 2010 and headquartered in Santa Monica, California. Over the past decade it has compiled a large, structured dataset of U.S. patent and litigation records. This data underpins three products: LexDana, an AI-driven data and insights tool; Expert Connect, an expert-sourcing service; and Lateral Compass, a legal recruiting platform. Patexia serves U.S. law firms, litigators, in-house legal teams, and legal recruiters seeking evidence-based data for IP and litigation decisions, expert witness sourcing, and legal hiring.
| Brand Name | Patexia |
|---|---|
| Domain | patexia.com |
| Industry | Legal, SaaS |
| Founded | 2010 |
| Headquarters | Santa Monica |
| Main Competitors | Lex Machina (86/100), Darts-ip (79/100), PatSnap (80/100), RPX Corporation (78/100), Clarivate (Derwent) (94/100), Expert Institute (82/100), IMS Expert Services (77/100), Round Table Group (75/100), Major Lindsey & Africa (75/100), Robert Half Legal (91/100) |
Moz Domain Authority 41/100 vs category average 39 / leader 95 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #372,200 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
Patexia has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "A decade of structured U.S. IP and litigation data powering LexDana (data + AI), Expert Connect (expert sourcing), and Lateral Compass (legal recruiting)." (Meta description: 23 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, og:type, Twitter cards. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Next.js, Cloudflare.
Social footprint: verified profiles on X (Twitter), LinkedIn, Instagram; no detected presence on Facebook, YouTube, GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked September 2026.
When asked "What is Patexia?", Claude could identify the brand as of September 2026. Patexia is a legal technology and intelligence company that provides patent and IP litigation analytics, along with a platform for tracking patent research and prior art. It also historically ran a research crowdsourcing community for patent prior art search before pivoting more Best known for Patent litigation analytics and IP intelligence data for law firms and legal departments.
When asked "Best brands similar to Patexia?", Claude would recommend Patexia as of September 2026. It's a legitimate niche player in IP litigation analytics, so I'd mention it alongside bigger names like Lex Machina or Docket Alarm if someone wanted patent litigation intelligence tools.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Patexia's main competitors in Legal: Lex Machina (86/100), Darts-ip (79/100), PatSnap (80/100), RPX Corporation (78/100), Clarivate (Derwent) (94/100).
Sources: Brand Analyzer scan
Patexia offers three main products: LexDana, a data and AI platform providing natural-language access to structured U.S. IP and litigation data; Expert Connect, a service for sourcing expert witnesses and consultants for legal cases; and Lateral Compass, a data-driven legal recruiting platform.
Sources: Patexia official site
Patexia is a legal technology company, founded in 2010 and based in Santa Monica, that has built a structured database of U.S. patent and litigation records spanning over a decade. It uses this data foundation to power three specialized products: LexDana, Expert Connect, and Lateral Compass, serving the IP and legal industry.
Sources: Patexia official site
Patexia has moderate AI-search visibility, scoring 55/100 on Brand Analyzer's AI visibility composite (visibility 68, trust 29, recommendation 63). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Patexia official site
Patexia was founded in 2010. Patexia operates in the Legal category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Patexia is headquartered in Santa Monica. Patexia operates in the Legal category.
Sources: Wikidata
Patexia structures large volumes of U.S. patent and litigation data into a cite-backed dataset and offers this intelligence through three products: LexDana, which provides AI-driven, natural-language access to IP and litigation insights; Expert Connect, which sources expert witnesses and consultants for legal matters; and Lateral Compass, which supports data-driven legal recruiting.
Sources: Patexia official site
Patexia scores 63/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Legal options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Patexia official site
Patexia is known for compiling one of the largest structured bodies of U.S. patent and litigation data, built up over more than a decade, and for turning that data into practical tools for IP analysis, expert sourcing, and legal recruiting.
Sources: Patexia official site
Patexia can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: Patexia official site
Patexia's tools are used by U.S. law firms, litigators, in-house legal teams, and legal recruiters who need reliable IP and litigation data, expert sourcing for cases, or data-driven approaches to legal hiring.
Sources: Patexia official site
Patexia scores 55/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Patexia has a limited AI-visibility profile at 55/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is visibility (68/100) and its weakest is trust (29/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a global traffic rank of #372,200 (Tranco). The main gaps holding it back: thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Patexia from memory (September 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to Patexia: Paraben Corporation (84/100), PaperStreet (84/100), Penneo (84/100), Posh (84/100).
A step up - brands to learn from: Usercentrics (91/100), Robert Half (91/100).
Category leader: Law.com (96/100).
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