The Cambridge Handbook of Generative AI and the Law
Tom Melham, Zijie Huang, Ludovica Paseri, Massimo Durante, Stefano Faraoni, Jerome De Cooman, Ugo Pagallo, Teresa Rodríguez de las Heras Ballell, Peter Henderson, Lu Zhang, Mimi Zou, Jason Grant Allen, Jane Loo, Hiroki Habuka, David Uriel Socol de la Osa, Sebastian Hallensleben, Lilian Edwards, Igor Szpotakowski, Gabriele Cifrodelli, Joséphine Sangaré · Cambridge University Press eBooks · 2025
This handbook offers an important exploration of generative AI and its legal and regulatory implications from interdisciplinary perspectives. The volume is divided into four parts. Part I provides the necessary context and background to understand the topic, including its technical underpinnings and societal impacts. Part II probes the emerging regulatory and policy frameworks related to generative AI and AI more broadly across different jurisdictions. Part III analyses generative AI's impact on specific areas of law, from non-discrimination and data protection to intellectual property, corporate governance, criminal law and more. Part IV examines the various practical applications of generative AI in the legal sector and public administration. Overall, this volume provides a comprehensive resource for those seeking to understand and navigate the substantial and growing implications of generative AI for the law.