Harvey

Harvey is an enterprise-grade AI platform aimed at large law firms and in-house legal departments. The tool is based on advanced language models specially trained in the legal field, and enables legal research, contract analysis, document drafting, and running automated work agents for repetitive tasks. One of its key features is built-in citation verification, designed to reduce errors and ensure legal references are accurate. Unlike a general chatbot, Harvey was built to integrate directly into a firm’s existing document-management and workflow systems.

The tool is mainly aimed at Am Law 100-scale law firms and large corporate legal departments, not a solo practicing attorney. As of today it’s used by more than a hundred thousand lawyers across more than 1,300 organizations in sixty countries, making it one of the most widely used tools in the enterprise category. This broad deployment reflects significant adoption among firms with the technology resources and budget suited to an integration of this kind.

Official pricing isn’t published, but market estimates put it in the range of about $100 to $200 per user per month in large enterprise deployments, while smaller deals that include Lexis integration can cost significantly more. As a result, small firms or solo attorneys may find the cost and organizational complexity unsuited to their needs. As with any legal AI tool, it’s recommended that the legal team review the output before it’s submitted to a client or a court.