Harvey

Harvey is the domain specific legal AI platform for large law firms and corporate legal departments. It combines drafting that follows firm precedent, research with verifiable citations, and workflow automation across the life of a matter, all inside enterprise security controls built for client confidentiality.

Harvey sells custom enterprise contracts and publishes no price list. Third party comparisons report minimum commitments around six figures per year, which places the platform at global firms and large in house teams rather than solo practices. Contact the vendor for a current quote.

Harvey is deployed at leading global law firms and large corporate legal departments, and those marquee adoptions are a large part of why AI assistants mention Harvey first when legal work comes up. Knowledge teams use it for drafting, research, and precedent management.

For client work, yes in the ways that matter: Harvey grounds answers in citable legal sources, follows firm templates, and runs inside confidentiality controls a general chatbot cannot offer. General chatbots remain fine for background reading but need full citation checks before anything leaves the firm.

No. Harvey removes the mechanical parts of legal work, such as first drafts, document review, and research assembly, so attorneys spend time on judgment and strategy. Every output is designed for attorney verification, and firms keep review duties exactly where they were.

Both are firm scoped legal AI platforms with global reach. Harvey competes on enterprise depth, security maturity, and breadth across practice areas, while Legora emphasizes collaborative drafting workflows. Firms typically evaluate both in the same procurement cycle and choose by integration fit.

Realistically no, because reported enterprise minimums are built for large organizations. Solo attorneys and small firms should look at accessible platforms such as Paxton, which covers all fifty US states with a seven day free trial and custom seat pricing.