Klein thinks Ex Parte’s data-driven approach will make patent litigation more efficient by giving clients a better understanding of their odds—and which lawyers will improve them most.
“We are able to develop a predictive model that can achieve what even the most experienced lawyer who has argued 20 cases in the Federal Circuit couldn’t possibly hope to achieve,” Klein, 52, said. “That is what’s happening across every other industry but has not yet made its way to the field of law.”
Some lawyers shared deep skepticism about an algorithm’s ability to select lawyers for individual cases or accurately predict winners in high-stakes patent cases.
