Harvey
AI legal assistant for law firms — trained on legal data, used by the world's largest law firms.
Overview
Harvey is an AI platform built specifically for law firms and legal departments — contract analysis, due diligence, litigation research, and regulatory compliance work, grounded in legal-specific training and citation-checking rather than a general-purpose chatbot. The company has scaled dramatically: from a $300M valuation in 2024 to $8B (December 2025) to an $11B valuation on a $200M round (March 2026, co-led by GIC and Sequoia), with total funding over $1B and reported ARR passing $300M by June 2026 — making it the most valuable legal-tech company to date.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 11 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- Per-seat, negotiated pricing
- Typical minimum ~25 seats
- Reported ~$100–$2,000/seat/mo depending on firm size
- Contact sales
Use cases
What you can produce with Harvey
- A full due diligence report synthesised across an entire M&A data room, with clause-level risk flags surfaced in a fraction of the time a manual review team would take
- A polished first-draft contract (NDA, SPA, employment agreement, etc.) generated from a brief or template, ready for partner-level markup
- A litigation chronology or timeline built automatically from deposition transcripts, discovery documents, and case materials
- Structured answers to complex regulatory or tax research questions, drawing on uploaded jurisdiction-specific materials and case law
- A contract negotiation playbook with position-by-position fallback language generated from the firm's own historical deal data
- Organised and categorised discovery document sets with relevance scoring, reducing e-discovery attorney hours on large-volume matters
- A comparative analysis of historical rulings mapped against a current case to model litigation strategy and likely judicial reception
ASEAN Perspective
Harvey in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Harvey is the enterprise legal-AI leader by revenue and adoption — $300M ARR by mid-2026, an $11B valuation, and most of the AmLaw 100 on the customer list. For large firms and in-house teams it delivers genuinely better legal-task performance than general assistants: contract drafting, due diligence, research, and document review in vetted, security-cleared workflows. The catch is access. Pricing is opaque and sales-led, with reported quotes around $1,200–$2,400 per seat monthly plus seat and term minimums, which puts it out of reach for solo practitioners and most small firms. Output still requires lawyer review, and coverage is deepest in US/UK common-law work. ASEAN readiness improved in 2026 with a Singapore office and WongPartnership as an anchor client, though local-jurisdiction tuning remains shallower than its US depth. No open public API.
What people say
Try getting a price out of Harvey and you'll hit a demo form, an NDA, and — per one r/legaltech poster — a request to bring 30 lawyers to the call. Quotes that do leak out run around $1,200 per seat per month, closer to $2,400 with the LexisNexis integration bolted on, typically against 20-seat and 12-month minimums. One firm reported $50K a year for 15 users, so discounts clearly exist at commitment. That math is why analysts keep saying sub-50-attorney firms struggle to justify it: the volume pricing rewards the AmLaw 100 firms that need the discount least.
The product itself gets strong marks from lawyers who have it. Gartner Peer Insights shows 4.8/5 (on single-digit review volume), and users consistently praise due-diligence and contract-drafting quality, speed, and the security posture that got it through big-firm procurement. Output still needs citation-checking — hallucination risk is managed, not solved.
Commercially it's the runaway legal-AI leader. A $200M round in March 2026 co-led by GIC and Sequoia valued it at $11B, up from $8B just three months earlier; ARR passed $300M by June 2026 from $190M in January; and it counts 100,000+ lawyers across 1,300 organizations, including most of the AmLaw 100. For APAC readers: Harvey opened a Singapore office in early 2026 with WongPartnership as its first local customer, so ASEAN firms now deal with a regional presence rather than a US sales team.
Summary of public user & expert reviews, compiled by RECATOOLS.
Notable facts
- Harvey is backed by OpenAI's fund, making it one of the few AI companies to receive direct investment from the creator of the underlying model it uses.
- Allen and Overy gave all of its 3,500 lawyers access to Harvey in 2023 — the largest deployment of AI to lawyers in a single firm at the time.
- Harvey was originally built by a lawyer (Winston Weinberg) and a machine learning researcher (Gabriel Pereyra) who met at Google and shared frustration at how little AI had improved legal practice.
Frequently asked questions
About this listing
This entry was compiled from publicly available data including Harvey's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Harvey unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
For the latest details, please refer to Harvey directly →
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