Overview
Harvey is a generative AI platform built specifically for legal professionals. Founded in 2022 by Winston Weinberg (CEO) and Gabriel Pereyra (President), the company emerged from a cold-email to OpenAI leadership and has grown rapidly to an $11B valuation as of March 2026.
Key Features
- Legal Research — AI-assisted case law research with LexisNexis integration
- Contract Review — Automated analysis and redlining
- Brief Drafting — AI-generated first drafts with citations
- Vertical Workflows — Specialised templates (e.g., pharmaceutical antitrust defences)
- Ethical Walls & Governance — Firm-level data isolation and access controls
- APIs & MCP Support — Custom integrations via Model Context Protocol
Team Composition
Approximately 20% of Harvey’s staff are lawyers working alongside engineers — a deliberate approach to building domain-specific AI rather than adapting general-purpose tools.
r/legaltech AMA (December 2025)
Harvey’s cofounders conducted the third vendor AMA on r/legaltech in December 2025. The session ran over two hours and covered:
- Valuation: Weinberg stated “We need to earn that valuation every day”
- Competition: Addressed positioning against LexisNexis, Westlaw, and emerging competitors
- Employee Criticism: Responded to anonymous claims about weak engagement and average technology
- Growth: Reported 81% increase in daily active users since 2023 launch
The AMA received mixed reception. The community appreciated the direct engagement but noted some questions received evasive answers.
Funding History
| Date | Round | Amount | Valuation | Lead |
|---|---|---|---|---|
| Feb 2025 | Series D | $300M | $3B | Sequoia |
| Jun 2025 | Series E | $300M | $5B | Kleiner Perkins, Coatue |
| Dec 2025 | Series F | $160M | $8B | Andreessen Horowitz |
| Mar 2026 | — | $200M | $11B | GIC, Sequoia |
Total raised: over $1.2 billion. Other investors include Coatue, Conviction Partners, Elad Gil, Evantic, and Kleiner Perkins.
Market Context
Harvey reports $190M ARR as of end-2025, with over 100,000 lawyers across 1,300 organisations using the platform. Clients include a majority of the AmLaw 100, over 500 in-house legal teams, and 50 asset management firms across 60 countries.
The legal tech market represents only ~3% of the $1 trillion total legal services sector. Harvey’s bet is on massive technology penetration growth, targeting the estimated 10 million global legal professionals.
Workflows
Based on practitioner evidence, Harvey is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Harvey addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
Contract redlining is a nightmare — 7 rounds of Track Changes in Word, counterparty turns off tracking, and nobody knows what changed between v5 and v7
Legal research costs $400-600/hour in associate time and takes hours of manual digging — searching Westlaw/Lexis, reading irrelevant results, synthesizing case law. Clients increasingly refuse to pay for research hours on invoices. AI can compress a 4-hour research memo into 20 minutes, but most firms have no approved tool
Law firm knows attorneys are quietly using ChatGPT for legal work — risk of hallucinated citations (Mata v. Avianca sanctions), client confidentiality breaches, and bar ethics complaints. Firm needs a secure, approved AI platform with ethical walls, data isolation, and audit trails, not a ban that everyone ignores
Where it fits in your workflow
Before Harvey
Attorney has a legal question, contract to review, or research task → opens Harvey (web app or integrated into firm's environment) → prompts Harvey with task-specific context
After Harvey
Harvey generates research memo, contract analysis, or document draft → attorney reviews/edits output → incorporates into work product → client deliverable. Harvey also provides firm-wide analytics on AI usage patterns.
Integrations & hand-offs
Harvey → attorney workstation (research output). Harvey → document management (draft documents). Harvey → firm IT/governance (usage analytics, ethical wall compliance, audit trails). PwC deploys Harvey for legal entity transformation work. A&O Shearman was early enterprise adopter.
Also used by similar teams
Community Data
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