Harvey is a domain-specific AI platform for law firms and legal departments, built on large language models with legal retrieval and workflow support.
Harvey provides generative AI designed for legal work: contract analysis, due diligence, regulatory research, and drafting, grounded in firm-approved sources. Its agents can run multi-step workflows such as reviewing a document set against a checklist and producing a memo with citations. Because the platform is deployed inside firm environments with strict access controls, teams can point it at internal knowledge while maintaining privilege and confidentiality. It has become a reference product for how large firms adopt generative AI. Firms typically start with well-bounded workflows such as first-pass review or memo drafting, then expand into multi-step agents as evaluation results and internal confidence grow.
Harvey is sold to law firms and enterprises through annual agreements priced by seats and workload, with pricing available from the sales team. Onboarding includes workflow design, security review, and training so adoption is structured rather than ad hoc. Some firms begin with time-limited pilots covering a single practice group before committing to firm-wide deployment.
Harvey is built for law firms, in-house legal departments, and professional services organizations with serious confidentiality requirements and repeatable legal workflows. It suits teams that want AI integrated with their own precedents and templates. Security posture is a core part of procurement conversations, including data retention terms and isolation of client matters.
No. Harvey is an enterprise product with custom pricing; firms engage the sales team for evaluation and contracting.
Harvey focuses on its platform experience and integrations with document systems; technical integration options are scoped per enterprise customer.
Harvey is more enterprise-deployment-ready than general chat assistants, while tools like Spellbook target narrower contract-drafting workflows inside Word at lower price points.
Client data is processed under strict isolation and access controls, and firms negotiate retention and training terms as part of procurement.
vLex is a global legal research platform combining case law and statutes from around the world with AI tools for analysis and…
Summize brings AI contract review into the tools teams already use, creating instant summaries and clause analysis inside Slack and Word. OverviewSummize…
Spellbook is an AI drafting and review assistant for lawyers that works directly inside Microsoft Word on contracts and transactional documents. Overview…