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In an article published on 7/14 in Forbes, Segal McCambridge Shareholder Kenneth Williams is featured for his insight into how the rise of semi-autonomous and fully autonomous trucking technology is fundamentally reshaping the courtroom strategies behind commercial transportation litigation.
As AI systems take a larger role behind the wheel, litigation is shifting from human testimony to machine-generated data—and from traditional personal injury claims to product liability cases. “Instead of arguing whether a driver should have seen a hazard or reacted faster, we'll be arguing whether the AI's object recognition algorithms were adequate, whether the sensors worked properly, or whether the decision-making protocols were reasonable given the circumstances,” Kenneth explains in the piece.
The article explores how this technological evolution is changing liability arguments, trial preparation, insurance risk models, and the role of expert witnesses. Kenneth outlines how successful litigation teams will need to leverage artificial intelligence specialists, digital forensic experts, biomechanical engineers, and accident reconstructionists to decode increasingly complex vehicle data and communicate its relevance to juries.
“Success will depend entirely on securing the best data interpretation experts early in the process,” Kenneth emphasized. “In this new reality, the side with superior technical expertise doesn't just have an advantage—they have an insurmountable one.”
To read the story in full, click here.
