Harvey is an AI platform purpose-built for law firms and in-house legal teams, automating research, contract analysis, due diligence, and document drafting with the accuracy, confidentiality, and reasoning depth that legal work demands. It is built on a combination of OpenAI and Anthropic models, fine-tuned and adapted for legal tasks, and is positioned exclusively at the enterprise end of the market — with pricing and minimum commitments that reflect a focus on large law firms and professional services organizations. Harvey has achieved significant traction in the Am Law 100, reporting that 50 of the largest US law firms are customers, alongside professional services firms including PwC and A&O Shearman. It differentiates through its legal domain specialization, enterprise-grade security architecture, and the depth of its legal reasoning capabilities relative to general-purpose AI tools.
Harvey
Enterprise AI built specifically for law firms and legal teams.
Compliance
GDPR ISO 27001 SOC 2
Key Features
- Legal research automation: Conducts comprehensive legal research across case law, statutes, and secondary sources, producing well-reasoned summaries that reduce the hours attorneys spend on manual research tasks.
- Contract analysis: Reviews and analyzes contracts at scale, extracting key terms, flagging non-standard provisions, and answering specific questions about contract language across large document sets.
- Due diligence support: Processes large volumes of documents in M&A, financing, or litigation contexts, identifying relevant information and surfacing issues that require attorney attention.
- Document drafting: Assists with drafting legal documents — memos, agreements, briefs — using AI that understands legal structure, terminology, and argumentation rather than producing generic text.
- Proprietary legal AI: Built on OpenAI and Anthropic foundation models, fine-tuned for legal reasoning and adapted to the specific accuracy and citation standards that legal work requires.
- Enterprise security architecture: Designed with the confidentiality requirements of law firms in mind, with data handling practices and security controls appropriate for privileged legal materials.
Use Cases
- For large law firms accelerating associate-level work: A large law firm deploys Harvey to handle the research, contract review, and initial drafting tasks that would otherwise consume significant associate attorney hours, allowing those attorneys to focus on higher-complexity judgment work while improving overall throughput.
- For in-house legal teams managing high contract volumes: A corporate legal department dealing with a high volume of vendor contracts and NDAs uses Harvey to review and extract key terms at scale, flagging issues for attorney review rather than requiring manual first-pass review of every document.
- For professional services firms conducting legal analysis: A firm like PwC uses Harvey to support legal and regulatory analysis work, applying AI to accelerate the research and document review components of engagements.
Pricing MODELS
Enterprise
Pricing Summary
Harvey uses custom enterprise pricing, publicly reported at approximately $1,200 per lawyer per month with a minimum of around 20 seats — implying an entry point of roughly $288,000 per year. These figures are based on publicly reported information and may not reflect current pricing; organizations should contact Harvey directly for a current quote.
Company Size Fit
Enterprise
Technical Snapshot
API Available
Yes
LLM Provider
Proprietary
Open Source
No
Deployment Options
Cloud Saas