Bench IQ combines a proprietary dataset with large language models to forecast how judges tend to think and rule. The platform ingests federal court transcripts and other undisclosed sources. Lawyers query the system about a judge's past handling of specific motions. Bench IQ spins up thousands of virtual assistants that comb the dataset and produce a cited report within minutes. The company has raised $5 million from Battery and Innovia and counts major Am Law 200 firms and Silicon Valley specialist firms among early users and investors. Competing products from LexisNexis, Thomson Reuters, and Theo AI already map judicial patterns.
Jimoh Ovbiagele, the company's cofounder and chief executive, said Bench IQ has built a proprietary dataset and layered in large language models to forecast how judges tend tothink and rule. He wouldn't disclose the sources, citing competitive reasons, but the company's terms of service suggest the data includes federal court transcripts. Attorneys start with a simple query: How has this judge handled emergency motions in the past?
The tool aims to become a cheat sheet for the bench, and the team behind Bench IQ, which includes Jeffrey Gettleman, who spent 17 years as an attorney at powerhouse law firm Kirkland & Ellis, thinks every litigator will want one. Ovbiagele said users include four of the top five Am Law 200 firms, the nation's second-hundred largest law firms by revenue. Cooley, Fenwick & West, and Wilson Sonsini, three premier law firms for tech companies, are also early investors.
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