Harvey has firmly established itself as the “Gold Standard” for verticalized AI, proving that domain specificity beats general intelligence in high-stakes industries. While ChatGPT can pass the bar exam, it cannot be trusted to handle a billion-dollar merger; Harvey can. By 2026, the company has evolved from a “legal chatbot” into a comprehensive “Professional Services Operating System.” Its platform is now the default infrastructure for the AmLaw 100 (used by over 50% of top firms) and the Big Four accounting giants, processing millions of complex legal queries monthly with a hallucination rate significantly lower than generic models.
The company’s defining “moat” is its exclusive data partnerships and its “Trust Stack.” Through strategic alliances with PwC and LexisNexis, Harvey trains its models not just on the open web, but on proprietary case law, decades of verified legal precedents, and elite professional workflows. In late 2025, Harvey launched “Harvey Agents,” a breakthrough in agentic workflow that allows lawyers to delegate massive, multi-step tasks—such as “Review these 500 contracts for change-of-control clauses and draft a risk memo”—which the AI executes autonomously while citing every single source for human verification.
Core Technology: The Trust Stack & Legal Agents
Harvey Assistant: A legal-specific conversational AI that integrates directly into Microsoft Word and Outlook. It doesn’t just “generate text”; it drafts clauses, analyzes risk, and summarizes case law with clickable citations to trusted sources (like LexisNexis).
Harvey Agents: Autonomous workflows introduced in 2025 that handle complex, multi-hour tasks. These agents can plan a research strategy, search internal databases (Vault), cross-reference external statutes, and compile a final report without constant supervision.
Vault: A secure, firm-specific knowledge graph that indexes a law firm’s entire history of work product. It allows partners to ask, “How did we structure the indemnification clause in the Smith deal three years ago?” and get an instant, accurate answer.
Workflow Builder: A no-code tool that allows firms to productize their expertise, turning bespoke legal processes (like an M&A due diligence checklist) into reusable AI apps.
Business & Market Status
Valuation: Skyrocketed to $8 Billion following a $160 Million Series F in December 2025, completing a historic “funding blitz” where it tripled its valuation in under 12 months.
Revenue: Surpassed $100 Million in Annual Recurring Revenue (ARR) by late 2025, driven by massive enterprise contracts with firms like A&O Shearman and PwC.
Partnerships: Secured a “kingmaking” alliance with PwC (deploying Harvey to 4,000+ professionals) and LexisNexis, effectively locking out competitors from accessing the world’s most valuable legal data.
Company Profile
Founders: Winston Weinberg (CEO, former O’Melveny & Myers associate) and Gabriel Pereyra (President, former DeepMind researcher).
Headquarters: San Francisco, California.
Funding: Raised over $960 Million total.
Key Investors: Andreessen Horowitz (a16z), Sequoia Capital, Kleiner Perkins, OpenAI Startup Fund, Google Ventures (GV), Coatue, EQT.
Key Use Cases
| Use Case | Description |
|---|---|
| M&A Due Diligence | Associates use Harvey Agents to instantly scan thousands of documents in a data room, flagging risks and generating a red-flag report in minutes rather than days. |
| Litigation Strategy | Partners use Harvey to analyze opposing counsel’s filings and suggest counter-arguments based on specific judicial precedents from the relevant jurisdiction. |
| Regulatory Compliance | Global companies use Harvey to track changing laws across 50+ countries, automatically updating their internal compliance policies when new legislation passes. |
Why It Matters Harvey is the test case for the “Vertical AI” thesis. It proved that professionals will pay a premium for an AI that is specialized rather than general. By solving the “Trust Problem”—guaranteeing data privacy and citing sources—Harvey has unlocked the one sector that was supposed to be immune to automation: the billable hour.
