The rapid advancement of machine learning (ML) technology is exposing a critical mismatch between the pace of technological advancement and the capacity of existing legal frameworks to effectively regulate it. As ML technologies advance, driving major changes across all sectors of society, traditional regulatory mechanisms—such as notice-and-comment rulemaking, legislation, and judicial review—are increasingly inadequate to address its unique and complex challenges. These established legal tools were designed for a slower, more predictable regulatory landscape, and they now struggle to respond to the ethical, privacy, and accountability questions that ML raises.