The American Lawyer recently interviewed Jonathan M. Judge about how he applies his baseball statistics knowledge to his legal practice. Specifically, he developed a better approach to arguing over fines his clients were paying to the U.S. Consumer Product Safety Commission. Applying statistical modeling to the history of those fines, Jonathan says he can determine a fair starting point for future penalties, providing a more informed and persuasive negotiating position.
Because Jonathan also has a deep understanding of the data analysis that driverless cars use to make decisions, he can speak both to engineers and software developers about why those decisions are being made, and also to judges and juries once driverless car accidents start hitting the courts. He expects that these cases will often be handled like product liability suits, and notes that there is no right decision for every decision that driverless cars face—they can only choose the decision that’s the most right the most often. Jonathan also underlines the importance of being able to explain not only that concept, but also how the software is making its decision in the first place.
Jonathan has already represented some stakeholders in this area, but he expects demand to take off as driver assistance technologies grow in popularity and autonomous cars increasingly turn from concept to reality.