Drew Winship firmly believes that forewarned is forearmed, and that his company, Juristat, can provide the weapons. Juristat uses a proprietary algorithm – yes, patent pending – that combs publicly available data to profile examiners on the assumption that past actions can predict future ones. Patent attorneys use the profiles to decide whether to appeal unfavorable decisions, ask for a continuance, or even tweak the patent and refile, in hopes of getting a different examiner.
“We’re ‘Moneyball’ for lawyers,’’ Winship, 30, says. (For non-sports enthusiasts, “Moneyball” was a movie about how Billy Beane used then-obscure statistics to pick the players who built the Oakland A’s into a winning baseball team.) Winship offers that analogy, then quickly shoots it down. Baseball teams, after all, had been using RBI’s, ERA’s and other statistics to evaluate players. Patent attorneys, Winship notes, weren’t gathering data at all. The analogy falls short in another way too. Billy Beane had just one goal, finding the best players. Juristat doesn’t confine itself to examiners. It has stats on attorneys’ win rates, which firms can use in marketing and recruiting, and clients can use in choosing firms. It also gathers data on judge’s past rulings, which litigation attorneys can use to prepare cases. ”Our whole culture revolves around the idea that the legal system should be predictable and transparent,’’ Winship says. Clearly, Juristat has spotted an unmet need. Winship won’t cite revenues, but says they are growing fast. Profits would be too, he implies, except that the company, at its investors’ urging, keeps plowing money into growth. Jursitat, which has raised more than $600,000 in equity and grants since its founding in 2012, has been doubling staff every six months (the 13th person comes on board Dec. 1). Winship sees every part of the legal system as fair game. Juristat has formed a partnership with Thompson Reuters to use data to predict a judge’s behavior in a Markman Hearing where patent language is parsed. It’s looking at bankruptcies, taxes and other areas in which sophisticated data analysis could give a lawyer a leg up. It’s gathering data on judge’s past rulings, which litigation attorneys can use to prepare cases. And it hopes to broaden the market for its patent data, so for example, it could help companies identify their competitors’ most innovative employees with an eye toward hiring them away. “We are predicting the future behavior of every actor in the legal system,’’ Winship explains. Not bad for a firm whose roots lie in, to borrow another movie title, a Terrible, Horrible, No Good, Very Bad Day. Okay, that’s an exaggeration; it was probably more like the Chinese death of a thousand cuts. But first some background, so it makes sense.HostMilano 2025 concluded its 44th edition on October 26 and remains the premier world fair…
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