Overview
Harvey AI is a generative AI assistant purpose-built for legal professionals, using custom-trained models on legal data to answer complex questions, draft documents, and analyze matter files. It is used by leading global firms and corporate legal departments to streamline research, contract work, and litigation preparation while staying within strict confidentiality and compliance standards.
Pricing
Enterprise, Seat-Based
- Harvey does not publish public pricing; market analysis and user reports suggest typical costs of around 1,000–1,200 USD per lawyer per month.
- These figures reflect enterprise contracts with large firms, often including implementation, support, and integrations.
Bundles & Content Partnerships
- Partnerships with providers like LexisNexis can increase effective seat cost by roughly one-third when primary law content is bundled.
- Pricing is value-based and negotiated case by case, tied to firm size, practice mix, and target ROI rather than fixed published tiers.research.
Target Customers
- Aimed squarely at large law firms and Fortune 500 legal departments, with a white-glove sales and onboarding process.
- Smaller firms and solo practitioners generally find Harvey’s enterprise model and costs out of reach.
Key Features
- AI legal assistant & research – Answer domain-specific legal questions with citations to statutes, cases, and internal documents.
- Document review & contract analysis – Extract key terms, flag risks, compare versions, and generate redlines or recommendations.
- Workflows & automation – Structured workflows for tasks like due diligence, discovery review, and policy checks.
- Vault / secure knowledge – Secure storage and indexing of a firm’s own documents to ground answers in proprietary knowledge.
- Multi-model architecture – Initially built on GPT‑4, now incorporating models from providers like Anthropic and Google in a multi-model approach.
Best Use Cases
- AmLaw 100 / Magic Circle firms – High-volume, complex matters where even small efficiency gains are worth millions.
- Corporate legal departments – Contract review, compliance checks, and internal knowledge retrieval for large enterprises.
- Litigation & arbitration – Drafting briefs, summarizing transcripts, and surfacing precedents and fact patterns.
- Transactional work – M&A and commercial contracts where large document sets need fast, consistent analysis.
- Regulatory & compliance teams – Monitoring regulatory changes and checking policies and documents against evolving rules.research.
Pros
- ✅ Deep legal specialization – Trained and tuned for legal workflows, not a generic horizontal AI tool.
- ✅ Adopted by top firms – Used by elite firms like Allen & Overy and others, validating its capabilities at the highest level.
- ✅ Powerful on complex workflows – Handles multi-step legal tasks (research, drafting, review) with domain-specific structure.
- ✅ Enterprise-grade security & governance – Built for confidentiality, access controls, and auditability in high-stakes environments.
Cons
- ❌ Opaque, high pricing – No public price list; estimates around 1,000–1,200 USD per lawyer per month place it firmly in the premium tier.
- ❌ Not accessible to small firms – Sales model and cost structure are oriented to large enterprises, not solos or small practices.
- ❌ Implementation overhead – White-glove onboarding and integrations can take weeks or months before full value is realized.
Official Website
Harvey AI – Official website and product information: https://www.harvey.ai
Release Date: Company founded in 2022; early law firm pilots started in late 2022 with broader adoption from 2023 onward.
Last Updated: December 2025