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    Harvey

    Harvey is the platform built to meet the standards of the world’s leading professional service firms.

    San Francisco, California, USA
    Founded 2022
    1001-5000

    Company Facts

    Founded
    2022
    Headquarters
    San Francisco, California, USA
    Company Size
    1001-5000
    Website
    harvey.ai

    About Harvey

    Harvey is a San Francisco-based company that builds generative AI software for legal and professional services work. Founded in 2022 by Winston Weinberg, a former securities and antitrust litigator, and Gabriel Pereyra, a former research scientist at Google DeepMind and Meta, the company (legally Counsel AI Corporation) develops an AI assistant that helps professionals with tasks such as legal research, document review, contract analysis, and drafting. Harvey is built on large language models and tailored to the workflows of law firms and corporate legal, tax, and compliance teams. Its customers include large law firms and enterprise legal departments across many countries. The company has raised over $1 billion from investors including Sequoia Capital, Andreessen Horowitz, Kleiner Perkins, GIC, and the OpenAI Startup Fund, and was valued at about $11 billion in 2026.

    What is Harvey?

    Harvey is an AI platform specifically designed for legal and professional services, aimed at enhancing the efficiency and effectiveness of law firms and corporate legal teams worldwide.

    Who is Harvey for?

    Harvey is designed for law firms, corporate legal teams, and law school students, providing them with tools to enhance their legal practices and education.

    When was Harvey founded?

    Harvey's Law School program was launched in August 2025, indicating that the company is relatively new in the market.

    Who founded Harvey?

    The founder(s) of Harvey are not specified in the provided content.

    What is Harvey best known for?

    Harvey is best known for its advanced AI capabilities that support legal professionals in executing legal work end-to-end and enhancing their operational efficiency.

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