Harvey, a startup developing an AI-powered “copilot” for lawyers, has secured $100 million in a Series C funding round led by GV, Google’s corporate venture arm. This funding round, which included contributions from prominent investors such as OpenAI, Kleiner Perkins, Sequoia Capital, Elad Gil, and SV Angel, brings Harvey’s total raised to $206 million and values the company at $1.5 billion.
In a post on Harvey’s official blog on Tuesday, co-founders Winston Weinberg and Gabriel Pereyra stated that the majority of the new funding will be used to gather and curate data to build and train “domain-specific” AI models. Additionally, they plan to expand Harvey’s workforce and extend its paid services to new regions.
“This investment will enable Harvey to continue scaling and improving our AI-powered technology across business functions and geographies,” Weinberg and Pereyra said. “We will use this new capital to invest in the engineering, data, and domain expertise that are fundamental to building AI-native systems that facilitate the most complex knowledge work. We will also deepen our partnerships with both cloud and model providers to integrate additional models into Harvey and broaden our training collaborations to continue improving model efficacy.”
Weinberg, a former securities and antitrust litigator at law firm O’Melveny & Myers, and Pereyra, previously a research scientist at DeepMind, Google Brain, and Meta AI, founded San Francisco-based Harvey in 2022. The idea for Harvey emerged when Pereyra demonstrated OpenAI’s GPT-3 text-generating system to Weinberg, who saw its potential to enhance legal workflows.
Powered by OpenAI’s GPT-4 model family, Harvey can answer legal questions posed in natural language, such as “What are the differences between an employee and independent contractor in the Fourth Circuit?” and “Is this clause in a lease in violation of California law, and if so, how can it be rewritten to comply?” Harvey also offers tools to automatically extract information from trial transcripts, find legal documents to support court arguments, and generate initial drafts of filings that include information and citations from legal databases.
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