Darrow co-founder and CTO Gila Hayat joins Bloomberg Technology hosts Ed Ludlow and Caroline Hyde to discuss how Darrow is applying AI to the legal industry — one of the highest-stakes environments in which hallucination and inaccuracy carry real consequences.
The conversation centers on three themes. The first is Darrow's core mission: identifying socially impactful legal cases that would otherwise go undetected, by scanning public data at a scale no human team could match. Hayat frames this not as a legal workflow efficiency story but as an access-to-justice story — the platform exists to surface harm that is happening in the world but not reaching the legal system that is supposed to address it.
The second is the data challenge that plaintiff attorneys face. Building a strong case requires a complete picture of a situation — connecting data points from news, regulatory filings, social media, consumer complaints, and court dockets into a coherent legal narrative. That aggregation problem is precisely what Darrow's architecture is built to solve.
The third, and perhaps most significant for a Bloomberg Technology audience, is Hayat's direct engagement with the AI hallucination problem. In legal contexts, a fabricated case citation or inaccurate factual claim can have serious professional and legal consequences. Hayat describes how Darrow addresses this through its human-in-the-loop model — combining AI detection with expert legal review to ensure every case it surfaces is legitimate, evidence-backed, and actionable before it reaches a law firm.
The appearance on Bloomberg Technology — one of the flagship programs covering the global tech industry — places Darrow alongside the companies shaping how AI is being deployed in consequential, high-accountability professional domains.
