Company Overview
Snapshot
Founded in January 2020 by Evyatar Ben Artzi, Gila Hayat, and Elad Spiegelman, Darrow operates with 51–200 employees. The company has raised $59 million across 3 funding rounds from 6 investors. In September 2023, Darrow secured a significant funding round.
Business overview
Darrow specializes in AI-powered justice intelligence, leveraging generative AI to analyze real-world data and legal information. Its platform identifies harmful incidents, estimates affected individuals, predicts case outcomes, and evaluates financial implications. By uncovering significant legal violations and connecting plaintiffs' lawyers with promising cases, Darrow aims to enhance the legal landscape, serving the legal services sector within the broader business software market.
Strategic signal
In July 2026, Darrow underwent a significant operational restructuring, laying off one-third of its workforce despite achieving profitability. This move signals a strategic pivot towards increased efficiency and a focused operational model, indicating a potential shift in growth strategy for investors and innovation teams.
Log in to access full profile ›Company Intelligence Q&A
- What is Darrow's core mission?
- Darrow's core mission is to leverage AI to uncover significant legal violations and connect plaintiffs' lawyers with promising cases, thereby enhancing the legal landscape and advocating for justice.
- When did Darrow last raise funding?
- In September 2023, Darrow secured a funding round from investors including Georgian Partners and Entrée Capital.
- What was a significant operational change at Darrow in 2026?
- In July 2026, Darrow laid off one-third of its workforce, a strategic decision made despite the company achieving profitability.
- Who are the co-founders of Darrow?
- Darrow was co-founded by Evyatar Ben Artzi, Gila Hayat, and Elad Spiegelman.
- How does Darrow utilize AI in its platform?
- Darrow's platform uses generative AI to analyze real-world data and legal information to identify harmful incidents, estimate affected individuals, predict case outcomes, and evaluate financial implications.