Harvey, the legal-AI startup, is in talks to raise at least $500 million at a $15.5 billion valuation, according to The Information. This represents a 40% premium to its March 2026 valuation of $11 billion, where it had raised $200 million led by Sequoia and Singapore's GIC. Harvey reached approximately $350 million in annualized recurring revenue (ARR) by July 2026, up from $190 million in January and $100 million in August 2025. The company counts 142,000+ lawyers across 1,500+ customers in 60+ countries, including 50% of the Am Law 100 and 50 asset managers.
Harvey competes by positioning itself as an agentic-workflow platform above foundational models, rather than building proprietary vertical models. The company has shifted to offering 500+ pre-configured legal agents alongside a Model Selector that lets firms route tasks to Claude, Gemini, or GPT-4, reflecting the market reality that frontier models now outperform custom legal AI. Harvey also deepened its moat through ecosystem integrations: LexisNexis (Ask LexisNexis for citation-backed answers), Microsoft 365 Copilot (launching Q2 2026), DocuSign (contract lifecycle), and Intapp (ethical wall enforcement). Weekly active users grew 4x year-over-year; monthly queries grew 5.5x.
For enterprise lawyers and in-house counsel, Harvey's ARR trajectory ($100M → $190M → $350M in under a year) signals that vertical AI for high-cost workflows can outpace horizontal LLM growth. At $15.5B on $350M ARR (~44x), Harvey trades at a meaningful premium to SaaS, but defensibility comes from distribution (50% of Am Law 100), network effects (client relationships lock in competitors), and task specialization. The legal AI market is projected to grow to $10.8B by 2030 (28.3% CAGR); Harvey's capture of pricing power early in that wave argues for extended valuations. Comparison: Legora reached $5.5B on ~$100M ARR in March; Harvey's higher revenue multiples likely reflect broader TAM and American law firm concentration risk.