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Amid the wave of artificial intelligence technology deeply penetrating various industries, the legal sector—due to its highly specialized and complex nature—has emerged as one of the most challenging scenarios for AI implementation. However, Harvey, a U.S.-based legal technology company founded in 2022, has rapidly risen to become a global benchmark in the legal AI field through its deep vertical expertise in “AI + Law.” By December 2025,Harvey has completed seven rounds of financing, raising over $960 million in total funding and achieving a valuation of $8 billion.Our client base spans 53 countries worldwide, with partnerships established with 50 of the top 100 U.S. law firms. Serving over 74,000 legal professionals, we have become a benchmark in “AI + vertical industry” recognized by both capital and the industry.

Company Background: A cross-disciplinary fusion of technical experts and legal professionals

Harvey's creation stems from the cross-disciplinary collaboration of its two founders. Co-founder and CEO Winston Weinberg holds a J.D. from the University of Southern California Gould School of Law and previously served as a partner at top-tier law firm O'Melveny & Myers, specializing in antitrust and securities litigation—giving him deep insight into the legal industry's pain points.Co-founder and Chairman Gabe Pereyra is a research scientist in the AI field. He previously worked at Google DeepMind, Meta, and the University of Oxford, holding a Bachelor's degree in Computer Science and a Ph.D. in Neuroscience. He has led the development of multiple generative AI models.

Their collaboration began by chance: While handling a landlord-tenant dispute case, Weinberg drew inspiration from Pereira and employed GPT-3 to assist in analyzing the case. The AI-generated results nearly passed professional legal scrutiny. This experiment prompted them to cold-email OpenAI founder Sam Altman, ultimately leading to Harvey becoming one of OpenAI Ventures“ first investment projects.Since then, Harvey has pioneered the innovation of legal AI through its dual-engine approach of technology and law.

Products and Services: Revolutionizing End-to-End Legal Workflows

Harvey's core product is a generative AI-powered legal workflow platform encompassing four core functional modules, forming a complete closed-loop from data input to decision output:

1. AI Legal AssistantThrough natural language commands, it assists in drafting, analyzing, and revising legal documents (such as contracts, pleadings, and memoranda), supporting real-time multilingual translation and standardized formatting. For example, attorneys can directly activate the Harvey plugin within Word, input “Draft a lease agreement compliant with California law,” and the AI will automatically generate text incorporating clause references and risk disclosures.
2. Legal Research EngineIntegrating global regulations, case law, and academic literature to support in-depth searches for complex legal issues. After users input a question, the AI not only provides answers but also cites data sources (e.g., Title X, Section X of the United States Code) and generates visual mind maps to help lawyers rapidly construct argumentation logic.
3. Intelligent Workflow AutomationProvides low-code visual tools enabling lawyers to design customized workflows without programming expertise. For instance, when designing an “M&A due diligence” process, AI can automatically extract key data from the target company's financial reports, compare it against industry benchmarks, generate risk assessment reports, and assign tasks to team members.
4. Safety Document LibrarySupports bulk uploading and structured storage of legal documents, automatically extracting clause keywords (such as confidentiality obligations and breach of contract liabilities) through OCR and NLP technologies to build a private knowledge graph. For example, law firms can import historical contracts into the system, enabling AI to swiftly locate all documents containing “force majeure” clauses and analyze clause variations.

Additionally, Harvey integrates deeply with Microsoft Office 365, embedding AI plugins within applications like Word, Outlook, and SharePoint to deliver a seamless experience of “reviewing as you write and researching as you chat.” For instance, while drafting emails, Harvey can automatically suggest more precise legal phrasing; when sharing documents in SharePoint, the AI can instantly flag potentially risky clauses.

Core Technology: Dual Barriers of Data Closed-Loop and Model Customization

1. Training Large Models for Vertical DomainsBased on OpenAI's GPT-4 architecture, Harvey is trained on billions of legal text data points—including U.S. federal court precedents, state statutes, and internal law firm documents—and optimized for legal accuracy through fine-tuning and reinforcement learning with human feedback (RLHF).For instance, in the tax domain, Harvey collaborates with PwC to train jurisdiction-specific models for each tax jurisdiction. These models can answer complex tax law questions and generate reports adhering to historical formatting standards.
2. Dynamic Data Closed-Loop SystemHarvey has established a closed-loop mechanism of “input-feedback-iteration”: Lawyers flag AI errors or shortcomings during use, and the system automatically collects this data to feed back into the model training layer. Simultaneously, law firms can upload private data (such as internal contract templates and case strategies) to train customized models within a secure, isolated environment, ensuring data privacy and commercial confidentiality.For instance, after training on the Harvey platform, A&O Shearman's “ContractMatrix” workflow achieved a 60% increase in contract review efficiency and a 40% reduction in error rates.

Key Clients: Comprehensive coverage spanning top-tier law firms to multinational corporations

• Top-tier law firmFifty of the top 100 U.S. law firms have signed on, including Allen & Overy and Macfarlanes, for contract review, due diligence, litigation strategy development, and other scenarios. For instance, Macfarlanes“ ”Amplify" workflow automates M&A document processing through Harvey, reducing transaction cycles by 30%.
• Corporate Legal DepartmentPwC, one of the Big Four accounting firms, and U.S. telecom giant Comcast are among the companies leveraging Harvey to optimize compliance management, intellectual property protection, and internal dispute resolution. For instance, PwC's tax AI model analyzes global tax law changes in real time, providing cross-border tax planning advice for businesses.
• Government and Military AgenciesIn 2024, Harvey secured a $100 million contract with the U.S. Department of Defense to provide edge data integration services. In 2025, the company won a $642 million contract from the Marine Corps for counter-drone systems and an $86 million contract from the Special Operations Command for mission autonomy software development, applying its AI technology to military reconnaissance, intelligence analysis, and other domains.

Development Prospects: The “Platformization” and “Ecosystemization” of Legal AI”

1. From Tools to PlatformsHarvey is evolving from a standalone AI tool into a Legal Operating System (Legal OS). By opening its API interfaces, it enables third-party developers to build legal applications—such as intelligent arbitration platforms and electronic evidence management systems—forming the “Harvey ecosystem.” For instance, law firms can upload their proprietary workflows to the Harvey Marketplace, sharing them with other institutions and earning revenue shares.
2. From Legal to Professional ServicesHarvey plans to expand its technology into adjacent fields such as tax, accounting, and consulting. Following its Series E funding in 2025, the company announced it would invest $100 million to acquire legal research firm vLex, integrate its global regulatory database, and explore collaboration with tax software company Intuit to build a “professional services AI matrix.”

Conclusion: AI's Paradigm Shift in Reshaping the Legal Industry

Harvey's rise represents not only a technology-driven commercial success but a fundamental transformation of how the legal industry operates. By deeply embedding AI into legal workflows, Harvey liberates lawyers from repetitive tasks, enabling them to focus on strategy development and value creation.As Weinberg states: “The goal of legal AI is not to replace lawyers, but to give every lawyer an AI-enhanced super team.” Fueled by both capital and industry momentum, Harvey is leading the legal sector into a new era of “AI + Professional Services.”