Wexler

Introduction

Wexler is an AI-powered fact intelligence platform purpose-built for litigation and disputes. Founded in 2023 in London by Gregory Mostyn (CEO) and Kush Madlani (CTO, ex-JP Morgan, ex-Tractable), Wexler extracts, links, and verifies facts across large case datasets — building defensible chronologies, surfacing contradictions, drafting memos and motions, and offering real-time fact-checking during depositions and hearings, with every output linked back to its source document. The platform is used by Clifford Chance, HSF Kramer, Burges Salmon, Goodwin Procter, and Addleshaw Goddard, and has raised roughly $6.7 million across a 2024 pre-seed and a September 2025 seed round from Pear VC, Seedcamp, The LegalTech Fund, Myriad Venture Partners, and Entrepreneur First.

Fact Intelligence as a Category

Wexler positions itself as the creator of a new legal AI category it calls “fact intelligence.” Rather than competing with general legal copilots like Harvey or CoCounsel on broad drafting and research, or with eDiscovery platforms like Relativity and Everlaw on document-volume reduction, Wexler narrows its focus to litigation: every fact has to be sourced, every inconsistency mapped, and every timeline defensible under cross-examination. The platform mines documents for factual content — dates, actions, relationships — and structures them into records that can be challenged and verified.

Legal Research

Wexler is not a case-law research tool and does not compete with Lexis+ AI or Westlaw Precision on statutory or precedential research. Instead, it performs fact research within the case file itself: ingesting emails, transcripts, spreadsheets, and reports, then answering factual questions grounded in the evidence with source-linked citations. Its KiM assistant executes multi-step research tasks, with the company citing a hallucination rate below 0.1% reported by a customer legal director in internal testing. This makes Wexler most valuable to litigation teams establishing what happened in a specific matter, rather than what the law says in general.

Document Drafting

Wexler drafts memos, briefs, motions, court applications, and discovery requests grounded strictly in the case record, with the KiM assistant producing work product with traceable citations to source documents. Outputs include chronologies, factual matrices for disclosure, and preparation materials that feed directly into trial bundles. Because drafting is constrained to facts present in the uploaded case file, Wexler is designed to reduce hallucination risk compared with general-purpose document AI in high-stakes litigation work.

Real-Time Fact-Checking

Launched alongside its September 2025 seed round, Wexler Real-Time flags false or inconsistent testimony during depositions and hearings as it is spoken, comparing it against uploaded case documents and surfacing source-linked alerts to the legal team. This is one of the more differentiated capabilities in the legal AI market, aimed squarely at high-stakes courtroom and arbitration use cases rather than desk research.

The KiM Assistant and Bounded Agents

Wexler has taken a public stance against open-ended autonomous agents in litigation, arguing that fully autonomous systems create accountability gaps because lawyers, not models, remain legally responsible for case strategy. KiM is framed as a “bounded agent”: it operates within strict parameters, always cites sources, and never claims authority over findings, leaving strategic decisions, credibility assessments, and case direction with the lawyer.

Scale, Languages, and Security

The platform processes up to 500,000 documents per upload, reports reducing manual review by at least 75%, and cuts chronology building from days to roughly one hour. Wexler reports 20x ARR growth between its 2024 pre-seed and September 2025 seed round. Multilingual support covers English, French, German, Italian, Dutch, and other languages, useful for cross-border arbitration and EU-wide investigations; over 70% of users are reported to be based in the United States, with a New York office alongside its London headquarters. Wexler is ISO 27001 certified and SOC 2 Type II accredited, with configurable data residency in the UK, US, or other regions, and states that case data is not used to train shared models.

Pricing

Wexler does not publish list pricing. As an enterprise litigation tool sold into AmLaw100, Magic Circle, and corporate legal departments, pricing is negotiated per firm based on matter volume and usage, and prospective customers need to contact Wexler directly for a quote.

User Reviews and Ratings

As a newer, enterprise-focused product, Wexler does not yet have a large public review footprint on sites like G2 or Capterra. Its main external validation instead comes from named adoption by major firms — including Clifford Chance embedding Wexler across its dispute resolution practice — and from legal-tech press coverage (Tech.eu, LegalTechTalk, PR Newswire) of its funding rounds and reported performance metrics.

Verdict

Wexler occupies a genuinely distinct niche — fact intelligence for litigation — rather than competing head-on with broad legal copilots or research platforms. For AmLaw100, Magic Circle, and corporate litigation teams handling document-heavy disputes, its deposition fact-checking and source-linked chronology tools are hard to find elsewhere. It is not built for solo practitioners, general legal research, or non-litigation practice areas, and buyers should expect a sales-driven, custom-pricing enterprise process rather than self-serve signup.