Harvey is a generative AI company founded in 2022 by Winston Weinberg, a former securities and antitrust litigator, and Gabriel Pereyra, an AI researcher who previously worked at DeepMind, Google Brain and Meta AI. The company builds domain-specific AI tools for legal and professional services work, targeting large law firms, in-house legal departments and professional services organizations.
The platform is designed around the realities of legal work: it supports contract analysis, legal research, document drafting, due diligence, regulatory questions and litigation support. Rather than offering a generic chatbot, Harvey emphasizes outputs grounded in a firm's own documents and trusted legal sources, with workflows tailored to specific practice areas.
Harvey rose to prominence as one of the earliest high-profile enterprise applications of large language models, and has built relationships with major global law firms and professional services firms. It has also worked closely with leading model providers, positioning itself as an applied layer that combines frontier models with legal-specific data, evaluation and security controls.
The company has raised substantial venture funding at a high valuation from investors including the OpenAI Startup Fund, Sequoia, Kleiner Perkins, GV and others, reflecting strong investor belief in vertical AI for regulated, document-heavy industries.
Harvey competes with other legal AI providers and with incumbent legal research and drafting vendors that are adding AI features. Its differentiation rests on enterprise security, domain depth, firm-specific customization and credibility with elite legal buyers.
For law firms evaluating AI, Harvey represents one of the most established enterprise-grade options, though buyers must still validate accuracy, confidentiality controls and integration with existing legal technology stacks.