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AI and Law: How Automation is Changing the Law


ISBN13: 9781032464527
Published: February 2025
Publisher: CRC Press
Country of Publication: USA
Format: Paperback
Price: £51.99



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This book provides insights into how AI is changing legal practice, government processes, and individuals’ access to those processes, encouraging each of us to consider how technological advances are changing the legal system. Particularly, and distinct from current debates on how to regulate AI, this books focuses on how the progressive merger between computational methods and legal rules changes the very structure and application of the law itself.

The authors investigate how automation is changing the legal analysis, legal rulemaking, legal rule extraction, and application of legal rules and how this impacts individuals, policymakers, civil servants, and society at large. We show through many examples that a debate on how automation is changing the law is needed, which must revolve around the democratic legitimacy of the automation of legal processes, and be informed by the technical feasibility and tradeoffs of specific endeavors.

About the authors
Aurelia Tamo‑Larrieux is an associate professor at the University of Lausanne (UNIL), Faculty of Law, heading the team of Digital and Computational Law and leading the Legal Design & Code Lab. Clement Guitton is currently a postdoctoral researcher at the University of St. Gallen, focusing on topics around law and technology, or more generally on understanding and developing policy solutions around technology. Simon Mayer is a professor at the Institute of Computer Science at the University of St. Gallen, Switzerland, where he heads the Chair for Interaction‑ and Communication‑based Systems.

Subjects:
IT, Internet and Artificial Intelligence Law
Contents:
Chapter 1: Automation of Law
Chapter 2: Law and Computer Science Interactions
Chapter 3: Automatically Processable Regulation
Chapter 4: Challenges and Controversies
Chapter 5: Needed (Public) Debates
Chapter 6: Educational Shifts Induced by Automatically Processable Regulation
Chapter 7: Exercises

Epilogue
Acknowledgements
Guiding Approaches for Solutions
References