Harvey
Agent platform for law firms and in-house legal teams, now with its own model
Overview
Harvey is a San Francisco legal-AI platform for law firms, in-house legal teams and asset managers, covering agents, Vault document review, contract intelligence and shared client workspaces. It raised $550M at a $15.5B valuation in September 2026 and released Harvey Tenet, its first post-trained model, in August. Pricing is quoted on request.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 14 Oct 2026 and may be out of date or incomplete.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.
- SAML SSO, audit logs and IP allow-listing
- Data lifecycle management
- SOC 2 Type II, ISO 27001, ISO 27701 and ISO 42001
Use cases
What you can produce with Harvey
- Legal agents that run multi-step work inside a matter, with its documents, permissions and history
- Bulk document review and extraction across thousands of files in Vault
- Contract reviews, negotiation support and portfolio-wide contract insights
- Shared workspaces with clients and co-counsel, with ethical walls
- Due diligence, data-room analysis and deal-document review for investment firms
- Custom Harvey agents run from inside Microsoft Word
Harvey is the default shortlist entry for large firms and legal departments: agents that work inside a matter with its documents and permissions, Vault for bulk document review, contract intelligence, and the security certifications big-firm procurement asks for. Its Singapore office and clients such as WongPartnership and Rajah & Tann make it a real option in ASEAN.
Two caveats. Prices are not published and sales are demo-led, which keeps out most small practices. And its own legal model is new as of August 2026; until then it ran on general-purpose models, so judge it on output, not on a training claim.
What we found
Harvey is the best-funded company in legal AI, selling an agent platform to law firms, in-house legal teams and, increasingly, investment firms. It came out of stealth in November 2022 with backing from the OpenAI Startup Fund and went firm-wide at Allen & Overy in early 2023. Today its homepage claims more than 3,500 legal organisations in 85-plus countries, 200,000 professionals and over 80 of the AmLaw 100.
The money has moved fast. Harvey announced $200 million at an $11 billion valuation in March 2026, co-led by GIC and Sequoia, then $550 million at $15.5 billion on 9 September, co-led by Diffusion and Lightspeed. It says it added more than $100 million in net-new annual recurring revenue in the second quarter. It also bought Benchmark, an AI tool for asset managers, in July and Guardrails AI, an agent-security startup, in September, its fourth acquisition of the year.
Earlier versions of this page said Harvey was trained on legal data. Harvey itself said in August 2026 that until then it had relied on general-purpose models. Its first model of its own, Harvey Tenet, is a Kimi K3 base post-trained with Fireworks on synthetic, public legal and expert data, and it ships with Harvey II, which lets agents start inside a matter with its documents, permissions and the user's remembered preferences.
Prices are not published: harvey.ai/pricing returns a 404 and every route leads to a demo request. Seat prices quoted on forums could not be traced to a primary source and are not repeated here. Output still needs a lawyer's check. For the region, Harvey opened a Singapore office in June 2026, naming WongPartnership as its first Southeast Asian customer, alongside Rajah & Tann, Drew & Napier and a partnership with the Singapore Judiciary, which makes it a realistic option for larger ASEAN firms rather than only US ones.
Compiled by RECATOOLS from public sources: vendor documentation and pricing, code repositories and published reporting.
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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