Harvey AI
AI for legal workflows
1 case studies
3 specialists
Legal Application AI for legal workflows
Used for AI-assisted legal work including contract analysis, legal research, document drafting, and due diligence. Law firm attorneys and legal teams use it to answer complex legal questions grounded in case law, summarize lengthy agreements, draft briefs, and accelerate document review processes.
Harvey is an enterprise product for law firms and legal departments. Access requires a firm-level agreement — contact Harvey's sales team at harvey.ai. Once deployed, attorneys access it through a web interface. Harvey is trained on legal data and integrates with common legal document management systems.
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%.
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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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