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The Legal AI Race Is Flashy. Litera Is Betting on the Plumbing.
For three decades, Litera built tools for the unglamorous details of legal work - redlines, metadata, clauses, matters and client data. Now it is trying to turn that installed base into one connected AI platform without making lawyers abandon the software they already trust.
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FlowManual
FlowManual is an AI platform for the back office of construction contractors. It reads specs, contracts, quotes, and invoices and automatically marks up scope, prices, deadlines, and exclusions, then compares bids against signed contracts and invoices against locked buyout prices to flag every scope change and price drift by severity and dollar impact. Founded in 2026 by Harvard dropouts David Shijoon Bae and Michael Lin, the company is part of Y Combinator's Summer 2026 batch and aims to cut the repetitive manual work of pre-construction so contractors can bid more and deliver at a higher standard.
AI Legal Tech Players Compared
A field guide to the companies teaching machines to read contracts, run legal research and draft memos. From Sweden's $5.6B Legora to Thomson Reuters' $650M CoCounsel bet, the AI legal tech race pits enterprise platforms, research incumbents and word-processor plug-ins against each other for the same prize: the billable hour. Here is who leads, who they serve and the numbers that separate hype from traction.
DraftWise
DraftWise is a New York-based legal AI company that helps lawyers draft, review, and negotiate contracts faster by turning a firm's own precedent, playbooks, and deal history into searchable, actionable intelligence. Working inside Microsoft Word, its platform generates lawyer-quality drafts and redlines grounded in institutional knowledge rather than generic AI output. Founded in 2020 by former Palantir engineers and a practicing corporate lawyer, DraftWise serves top law firms and legal departments across North America, EMEA, and APAC.
Lawtrades
Lawtrades is a New York-based legal talent marketplace that connects companies with vetted freelance attorneys, paralegals, and legal operations professionals, on demand. Founded in 2016 by Raad Ahmed and Ashish Walia, the platform lets in-house legal teams scale capacity up or down without full-time hires, offering hourly, project-based, and contract-to-hire engagements alongside newer AI tools for contract review and legal data work. Customers include DoorDash, Pinterest, Yelp, Gusto, and Headspace.
Legora
Legora is a Stockholm-founded collaborative AI platform built for legal work. It helps lawyers research, review, and draft across complex matters, running inside familiar tools like Microsoft Word and Outlook. Formerly known as Leya, the company (founded 2023) serves tens of thousands of legal professionals at 1,000+ law firms and in-house teams across more than 50 markets, and crossed $100M in annual recurring revenue before raising a $600M Series D at a $5.6B valuation in 2026.
Wordsmith AI
Wordsmith is a legal AI company building the operations platform for in-house legal teams. Rather than helping individual lawyers draft documents faster, it captures, triages, resolves and records every legal request coming from across a business - handling routine work like NDAs, vendor reviews and privacy questionnaires with task-specific AI workers that plug into Slack, email, Word and document repositories. Founded by former lawyer Ross McNairn and headquartered in Edinburgh, the company raised a $70m Series B in June 2026 (bringing total funding to $100m) and serves more than 500 companies including BT, Canva, Financial Times, Sage, Trip.com and Starling.
James Ding
James Ding is the co-founder and CEO of Draftwise, a New York-based legal AI company building contract drafting, review, and negotiation software for elite law firms. A former engineering lead at Palantir with a computer science degree from Emory University, Ding started Draftwise in 2020 after interviewing about 100 lawyers and concluding that repetitive contract work was ripe for automation. The company went through Y Combinator, raised a $5M seed in 2023 and a $20M Series A led by Index Ventures in 2024, and now serves clients among the world's top-tier law firms from offices in New York and London.
LegalOn Technologies
LegalOn Technologies is a legal AI company that builds contract-review and legal-workflow software for in-house legal teams. Founded in Tokyo in 2017 by former corporate lawyers Nozomu Tsunoda and Masataka Ogasawara, it pairs large language models with attorney-authored playbooks so its flagship product, Review, flags risks and suggests edits inside Microsoft Word. Used by more than 7,000 organizations across Japan, the U.S. and the U.K. - including roughly a quarter of Japan's public companies - LegalOn raised a $50M Series E led by Goldman Sachs in July 2025 and struck a technology partnership with OpenAI to build legal AI agents.
Paxton AI
Paxton AI is an all-in-one generative AI assistant built for lawyers. It handles legal research, document drafting, contract review, and mass document analysis across U.S. federal and state law, with a published 94% non-hallucination rate benchmarked against Stanford research. Founded in 2023 by Tanguy Chau and Michael Ulin, the company is based in Palo Alto and has raised $28M total, including a $22M Series A led by Unusual Ventures in January 2025.
Crosby
Crosby is an AI-powered law firm that reviews business contracts - NDAs, MSAs, and DPAs - in under an hour by pairing proprietary AI agents with licensed human lawyers. It charges a fixed price per document instead of billing by the hour, carries malpractice insurance like any registered law firm, and is built for fast-growing companies whose deals get stuck waiting on legal. Founded in 2025 by Ryan Daniels and John Sarihan, Crosby has reviewed thousands of contracts for customers like Cursor, Clay, and Cartesia, and raised $85.8M total across seed, Series A, and a $60M Series B led by Lux Capital and Index Ventures.
Ryan Daniels
Ryan Daniels is the cofounder and CEO of Crosby, a hybrid AI law firm that pairs licensed lawyers with proprietary AI agents to review commercial contracts (MSAs, NDAs, DPAs) in under an hour at fixed per-document pricing. A Stanford Law graduate and former startup general counsel who got tired of being the bottleneck on his own company's deals, Daniels built the product he wished he had. Since emerging from stealth in 2025, Crosby has negotiated more than $1 billion in contracts for clients like Cursor and Clay, and raised about $85.8M from Sequoia, Index, Lux Capital and Bain Capital Ventures.
Andrew Antos
Andrew Antos is the Czech-born Founder and CEO of Klarity, a San Francisco-based AI platform that automates document-intensive workflows for enterprise finance and accounting teams. Born in Brno one year before communism fell, he grew up in a family of scientists, studied law in Europe, then pivoted to entrepreneurship after Harvard Law School and an MIT startup course. He co-founded Klarity in 2017 with Nischal Nadhamuni, raised $90M+ from Y Combinator, Scale Venture Partners, Nat Friedman, and Daniel Gross, and counts DoorDash, Zoom, Cloudflare, and OpenAI among his customers. Klarity's AI platform achieves 82%+ pass-through rates on contract and invoice processing, reduces month-end close by 2-3 days, and automates up to 87% of manual finance work.
Harvey
Harvey builds domain-specific AI for legal and professional services. Founded in 2022 by a former litigator and a former DeepMind researcher, the company sells AI agents and workflows that help lawyers draft, review, research and run due diligence. As of March 2026, it counts more than 100,000 lawyers and 1,300+ organizations as users and is valued at $11 billion.
Daniel Lewis
Daniel Lewis is the Global CEO of LegalOn Technologies, the most well-funded AI platform for in-house contract review, having raised over $200 million. A Stanford Law grad who co-founded Ravel Law from a Stanford dorm, partnered with Harvard to digitize 360 years of U.S. case law, and then led LexisNexis's Practical Guidance division before taking the helm at LegalOn in 2022. Under his leadership, LegalOn's US and UK business quadrupled, secured a $50M Series E led by Goldman Sachs, and struck a strategic partnership with OpenAI - all while building attorney-curated AI playbooks that help legal teams cut contract review time by up to 85%.