Ep 040: Gillian Hadfield on Redesigning Our Legal Systems

<p><span style="font-weight: 400;">A lawyer, economist and scholar,</span> <a href="https://gillianhadfield.com/"><span style= "font-weight: 400;">Gillian K. Hadfield</span></a> <span style= "font-weight: 400;">has devoted much of her career to studying how legal systems can be improved to ensure they meet the needs of the people they are meant to serve. In her book,</span> <a href= "https://amzn.to/2YxN07t"><em><span style="font-weight: 400;">Rules for a Flat World: Why Humans Invented Law and How to Reinvent It for a Complex Global Economy</span></em></a><span style= "font-weight: 400;">, she argues that the complexity of today’s global, digital economy has pushed law to its limits, making it too expensive, too complicated, and too far out of touch with our needs.</span></p> <p><span style="font-weight: 400;">In this episode of LawNext, host Bob Ambrogi speaks with Hadfield about her book and her proposals for reinventing the legal system. They also discuss her ideas for addressing the access-to-justice gap, her recent research on ensuring the safety of artificial intelligence, her belief that private investment is essential to sparking innovation in law, and her work with the Utah Supreme Court to launch a regulatory sandbox to test many of her theories.</span></p> <p><span style="font-weight: 400;">With both a J.D. from Stanford Law School and Ph.D. in economics from Stanford University, Hadfield is currently based at the</span> <a href= "https://www.law.utoronto.ca/faculty-staff/full-time-faculty/gillian-hadfield"> <span style="font-weight: 400;">University of Toronto Faculty of Law</span></a> <span style="font-weight: 400;">and Rotman School of Management, where she teaches courses in legal innovation and design, responsible development and governance of AI, the origins and evolution of the law, and contract law and strategy.</span></p> <p><span style="font-weight: 400;">She is a faculty affiliate at the Vector Institute for Artificial Intelligence in Toronto and the Center for Human-Compatible AI at the Un