Harvey AI is a generative AI platform purpose-built for legal professionals. It combines large language models with legal domain expertise to assist with the most complex and sensitive work at leading law firms worldwide.
Large law firms (including Allen & Overy, Ashurst, and others) use Harvey to make associates more productive on research-intensive tasks. Legal departments at enterprises accelerate contract review cycles. Litigation teams process discovery documents faster.
Harvey is designed with the confidentiality and accuracy requirements of legal practice in mind. Learn more at harvey.ai.
Case studies
AmLaw 100 law firm
A top-100 law firm had 200 attorneys spending 40% of billable hours on first-pass document review — lucrative for partners but a retention crisis for associates drowning in repetitive work.
Deployed Harvey AI with custom matter-type training using 3 years of the firm's own work product. Built governance policies, a privilege log workflow, and exception handling for Harvey's edge cases. Trained 200 attorneys over 6 weeks.
60% of first-pass contract review now automated. Associates report 2.5 hours/day recovered for higher-value work. Firm capacity equivalent to 8 additional associate FTEs without new hires. Associate retention improved 18%.
Thought leaders
Follow for insights, tutorials, and thought leadership
Harvey AI
Co-founder of Harvey AI, the leading AI platform for legal professionals. Background as an attorney in antitrust and securities litigation. Harvey has surpassed $50M ARR, expanded to 235 enterprise customers, and achieved a $3B valuation. Allen & Overy deployed Harvey to 4,000+ lawyers across 43 jurisdictions.
Thomson Reuters
Chief Product Officer at Thomson Reuters, leading AI product development for legal, tax, and compliance professionals. Known for her work in ethical AI, inclusive design, and bias mitigation. Advocates for AI that embeds human values into technology.
Harvey AI
Co-founder and CTO of Harvey AI. AI researcher who previously worked on large language models at Google Brain and Meta. Harvey has achieved 94.8% accuracy on document Q&A and exceeded lawyer performance in four benchmark tasks. Under his technical leadership, Harvey serves 235 enterprise customers including the world's top law firms.
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