Harvey is the most prominent AI platform in the legal industry, purpose-built for law firms and legal departments. Unlike general-purpose LLMs adapted for legal use, Harvey was trained from the ground up on legal data and designed around the workflows and professional responsibility requirements of legal practice. Harvey's core capabilities span every major legal practice area: contract drafting and review, legal research, due diligence document analysis, regulatory compliance assessment, litigation strategy and brief writing, M&A transaction support, and employment law analysis. Each capability is trained with legal domain expertise, not retrofitted from a general writing tool. For law firms, Harvey handles document review at scale: ingesting thousands of contracts in a due diligence process and extracting specific clauses, defined terms, representations and warranties, and risk factors — work that previously required armies of associates billing hundreds of hours. Client confidentiality is Harvey's non-negotiable foundation. The platform uses private, isolated model instances per firm, ensuring no client data is used to train shared models. This architecture meets the professional responsibility requirements attorneys must uphold. Harvey is backed by OpenAI and used by Allen & Overy, PwC, and top-tier law firms globally. It represents a fundamental shift in legal economics — enabling firms to handle more sophisticated work with the same headcount.