Legal IT Insider's Startup Corner series profiles Darrow following its $35 million Series B, offering a structured Q&A snapshot of the company's foundations, strategy, and achievements at a key point in its growth.
Founded in 2020 by Evyatar Ben Artzi, Gila Hayat, and Elad Spiegelman, Darrow describes itself to a general audience as an AI-powered platform on a mission to fuel law firm growth and deliver justice for victims of class and mass action lawsuits. For a technical audience, the description shifts: a platform combining large language models and attention mechanisms for legal data analysis, designed to surface potential cases that would otherwise be missed in the volume and complexity of publicly available data.
At the time of publication Darrow had raised $60 million in total funding from Georgian, F2, NFX, Entrée Capital, and Y Combinator, and had partnered with over 50 leading U.S. plaintiff law firms working on active litigation valued at over $10 billion in damages. The recent launch of PlaintiffLink — a centralized portal connecting law firms with vetted plaintiffs — represented the company's most significant product expansion beyond its core case identification offering.
On the question of market challenges, Darrow is candid: a significant portion of attorneys still resist new ways of working. But the arrival of ChatGPT and generative AI in mainstream conversation has accelerated adoption, with many firms now actively racing to integrate tools that were once considered experimental. Darrow's growth strategy centers on expanding into new legal domains and building on its generative AI foundation to develop new products for the plaintiffs' bar.
