Artificial intelligence has been making waves across numerous sectors, and the judicial system might be the next to experience significant transformation. Shlomo Klapper, the founder and CEO of Learned Hand, is steering this shift by advancing AI-driven tools specifically for use in courtrooms. Klapper, whose experience includes litigation at Quinn Emanuel and clerking at the 2nd U.S. Circuit Court of Appeals, is working towards developing a “reasoning engine” that assists judges by organizing case materials, checking legal representations, and aiding in drafting necessary court documents.
In a recent LawNext podcast episode hosted by Bob Ambrogi, Klapper shared updates on his latest venture: a partnership with the Superior Court of Los Angeles County, the largest trial court in the U.S. This collaboration aims to evaluate how AI can enhance judicial efficiency across various stages of case handling, from initial filing to drafting final orders. Additionally, Learned Hand’s platform, distinguished as the only AI tool crafted exclusively for the judiciary, is already implemented across the Michigan Supreme Court and trial courts in ten different states.
During the podcast, Klapper explained why he considers courts to be the impending domain for AI application. He emphasized the importance of building trust with judges and how addressing the Jevons Paradox — the phenomenon where reduced costs lead to increased demand — can transform the justice system. They also explored challenging topics such as biases and AI inaccuracies, referred to as hallucinations, and discussed strategies to counter judicial skepticism of AI solutions.
The full discussion, which delves deeper into these critical themes, can be viewed here.