Harvey
Description
Harvey is an artificial intelligence application built to enhance efficiency in drafting tasks within the legal profession. It applies language models and data processing techniques to automate complex reasoning traditionally performed by attorneys. The system is trained on large volumes of legal text and supports precision outputs that align with professional expectations and regulatory standards.
Its architecture allows lawyers to generate, review, and validate documents or research outputs within secure and auditable environments. Through contextual understanding, the tool reduces the time needed for information retrieval, drafting, and risk assessment without compromising quality. Integration with existing legal workflows enables seamless use across case management, document review, and advisory functions.
It supports structured data extraction and maintains traceability for all AI‑assisted operations to ensure accountability and defensibility of work product. The platform’s performance improves with continued use, refining predictive accuracy and aligning outputs with the user’s practice area and jurisdiction. Its key functional emphasis lies in Generative AI,Analytics, reflecting its specialization in that domain of legal work. Further product information and access options are provided through harvey.ai.
Features
✅ Legal research augmentation: It retrieves statutes, case law, and secondary sources dynamically to support arguments, ensuring each generated output is grounded in authorities.
✅ Clause generation and negotiation support: The tool can propose alternative contract language, highlight negotiation levers, and identify ambiguous or conflicting provisions.
✅ Summarization and analysis of large documents: Harvey digests voluminous documents—briefs, deals, contracts—and summarizes key points, highlights risks, and extracts relevant clauses.
✅ Firm-specific customization & style alignment: Harvey adapts to a firm’s internal playbooks, drafting preferences, and jurisdictional norms to produce outputs that follow firm voice and governance.
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