
Harvey
An enterprise-grade legal AI platform built for AmLaw 100 firms and Fortune 500 legal departments

Tool details
Harvey is an enterprise-grade legal AI platform built in deep partnership with OpenAI, designed for AmLaw 100 firms and Fortune 500 legal departments. Valued at $11 billion as of March 2026, it has served more than 100,000 legal professionals and is used by 60+ top law firms.
Core Capabilities
- Assistant: A conversational interface for complex legal questions, document analysis, and drafting
- Vault: Handles M&A due diligence and compliance audits at the scale of 100k+ documents
- Knowledge: Researches complex legal, regulatory, and tax questions with authoritative citations
- Workflow Agents: Automates repetitive legal processes such as deposition analysis and contract review
- Deep integrations: Connects seamlessly with Microsoft 365, LexisNexis, iManage, and other mainstream tools
- Enterprise-grade security: Compliant with SOC2, ISO 27001, GDPR, and more
Use Cases M&A due diligence at large law firms, bulk contract review for in-house legal teams, and document analysis for litigation teams. If your team handles large-scale documents and has an enterprise budget, Harvey is built for you.
Unique Advantages While other legal AI tools remain single-feature, Harvey delivers a full-stack solution. Vault's 100k+ document processing capacity and OpenAI custom model support leave it with almost no rivals in ultra-large-scale document scenarios.
Editor's Review Endorsements from top law firms confirm its competitiveness at the high end, but pricing above $1,000 per user per month and the "wrapped GPT" criticism put smaller firms off. It suits large legal teams with budget and complex workflows; smaller firms should consider more cost-effective alternatives.
Pricing
Custom pricing~$1,000/user/mo (estimated)Requires an annual contract, typically starting at 20 seats; add-ons include custom implementation, training, and customer success management
Additional notes
No public pricing page; contact the sales team; the ~$1,000/user/mo entry price is an estimate; positioned as a replacement for labor costs rather than traditional software spend
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