Problem

Legal and professional-services work is highly document-intensive, requiring specialists to spend substantial time on contract analysis, due diligence, compliance, litigation, research, and related review. Harvey addresses the resulting productivity and cost problem by streamlining these workflows so firms and legal teams can make faster decisions and create more value. The clearest initial use cases are contract analysis and due diligence, where large volumes of complex documents create an especially significant burden on expensive expert time.

Product / Service

Harvey is domain-specific AI delivered through a secure platform for law firms, corporate legal teams, and other professional-services providers. Its Assistant lets users ask questions, analyze documents, and draft more quickly, while Vault securely stores, organizes, and bulk-analyzes legal documents. The product is designed to augment professional judgment rather than replace the underlying expertise, enabling users to focus on higher-value work while accelerating routine and document-heavy tasks.

Market

Harvey competes in legal AI and the broader market for AI software for professional services. The competitive set includes legal-workflow and document-management products such as AI Lawyer, NetDocuments, Leap, Leah Agentic OS, Juro, v-Lawyer, and TrialView, although these alternatives span somewhat different categories and use cases.

The company has meaningful commercial traction rather than appearing pre-revenue: Harvey reports more than 2,400 customers across more than 70 countries, and says that global law firms and Fortune 500 enterprises use it. It is backed by investors including Sequoia, Kleiner Perkins, GV, OpenAI Startup Fund, Coatue, Andreessen Horowitz, and EQT; the company also announced $200 million of funding at an $11 billion valuation in 2026. The available evidence does not provide a revenue figure, but it clearly indicates substantial enterprise adoption and continued scaling.