$11 billion

Harvey is an AI platform built specifically for professional services firms, with law as its primary market. Valued at $11 billion as of late 2025, it processes over 700,000 tasks daily across the world's largest law firms — making it the most widely deployed enterprise legal AI in existence.

Founded in 2022 by a former antitrust lawyer and a former Meta ML engineer, Harvey moved fast from prototype to enterprise standard. It counts Allen & Overy, PwC, and O'Melveny among its flagship clients, and its Agent Builder platform lets firms create custom AI workflows without writing code.

What Harvey Actually Does

Harvey operates as a legal work platform, not a chatbot. Its core functions include legal research (searching and synthesizing across jurisdictions), document drafting (contracts, briefs, memos, and correspondence), document analysis (reviewing agreements for risks, extracting key terms, comparing versions), and knowledge management (learning from a firm's internal documents and precedents). The differentiator is scale. Harvey doesn't just answer questions — it runs orchestrated workflows where multiple AI agents handle different parts of a complex legal task simultaneously. A due diligence review that takes a team of associates two weeks can be completed in hours.

The $11 Billion Valuation Explained

Harvey raised $2.1 billion in total funding through 2025, with its Series D at a $11 billion valuation. That number isn't about current revenue — it's about market position. Harvey has locked in multi-year contracts with Am Law 50 firms that collectively represent billions in legal spend. The enterprise legal AI market is winner-take-most: once a firm deploys Harvey across 500+ attorneys and builds custom workflows, switching costs are enormous. Sequoia, Google Ventures, and Kleiner Perkins led rounds because they're betting Harvey becomes the operating system for legal work — not just a tool, but the platform everything else connects to.

Agent Builder and Custom Workflows

Harvey's Agent Builder is what separates it from CoCounsel and Claude. It lets firms create custom AI agents for specific practice areas — an M&A agent that follows the firm's due diligence checklist, a regulatory agent trained on the firm's compliance frameworks, or a litigation agent that drafts discovery responses using the firm's style guide. These agents aren't generic. They're trained on the firm's internal precedent bank, templates, and institutional knowledge. That means a Harvey agent at Allen & Overy produces different output than one at PwC — because they've learned different institutional standards. This is the moat: every month of usage makes Harvey harder to replace.

Who Harvey Is (and Isn't) For

Harvey is designed for large law firms and professional services organizations with 100+ attorneys. The pricing (reportedly $1,200+/user/month at enterprise scale), implementation timeline (3-6 months), and feature set all point to firms billing $500+/hour that need AI to multiply associate output. It's not for solo practitioners or small firms. A 5-attorney firm doesn't need Agent Builder or custom workflow orchestration — they need a $20/month Claude subscription and a good prompt library. The Harvey sweet spot is firms where a 15% efficiency gain across 300 attorneys saves millions annually.

Harvey vs. the Competition

Against CoCounsel: Harvey wins on customization and scale, loses on legal database integration (CoCounsel has native Westlaw access). Against Claude: Harvey wins on enterprise features and firm-specific training, loses on price by 60x. Against Lexis+ AI: Harvey wins on multi-agent orchestration, loses on seamless integration with LexisNexis research. The real competition isn't other AI tools — it's in-house AI teams. Several Am Law 10 firms are building proprietary AI stacks. Harvey's pitch is that building internally costs $5-10M/year in engineering talent alone, while Harvey delivers a proven platform at a fraction of that cost.

The Bottom Line: Harvey is the dominant enterprise legal AI platform — $11B valuation, 700K daily tasks, deployed across the world's largest firms. Its Agent Builder creates custom AI workflows trained on firm-specific knowledge. If you're an Am Law 100 firm, Harvey is the benchmark. If you're a small firm, it's not built for you.