
Harvey is an AI platform for law firms and in-house legal teams. It brings legal research, contract analysis, due diligence, document storage, deal work, and complex workflows into a secure product designed for professional services. It helps legal teams focus on high-value work across complex matters.
Harvey focuses on legal and professional services rather than acting as a broad consumer assistant. Its feature set maps to specific legal work, including research, deals, diligence, contracts, fund formation, and document storage.
Security is part of the platform design. Harvey lists SAML SSO, audit logs, IP allow-listing, and data lifecycle management among its default enterprise controls, alongside SOC 2 Type II and several ISO standards.
Research and analysis tools sit beside deal management and document storage, so teams can cover several stages of a matter in one platform. Harvey supports legal research, contract analysis, due diligence, fund formation, and other complex workflows.
Administrative controls help organizations manage access and data across the workspace. The platform includes SAML SSO, audit logs, IP restrictions, and data lifecycle controls for firms that need formal security and compliance processes.
Harvey does not present an independent aggregate user rating. Its customer testimonials include legal and operations leaders from Deutsche Telekom, Reed Smith, and Syngenta, with comments focused on adoption, complex work, and creating more time for strategic tasks.
These are selected customer accounts rather than independent review scores. They show how large legal teams describe the product, but they do not provide a neutral rating benchmark.
Harvey does not publish plan names or monthly prices. Prospective customers need to request current commercial terms and assess them against team size, security requirements, and the legal workflows they plan to use.
No. Harvey is a separate legal AI platform that uses several models, including models from OpenAI, Anthropic, and Google.
Harvey does not publish monthly prices. Enterprise buyers receive custom commercial terms.
Its fit depends on the team's legal workflows, security needs, and ability to review AI output before use.
It supports legal research, contract analysis, due diligence, deal management, document storage, and complex workflows.
Its appeal comes from a legal-specific product, enterprise controls, and workflows for research, analysis, and deals.
Yes. Like other generative AI systems, it can produce incorrect claims. Legal professionals should review outputs before relying on them.
Harvey targets professional legal work with legal knowledge sources, document workflows, enterprise controls, and multiple model providers.
Harvey targets law firms and in-house legal teams. Access is arranged with Harvey rather than through a public self-service plan.
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