
AI and Legal Education
Ethical and Sustainable Approaches
Anil Balan(Author)
Routledge (Publisher)
1st Edition
Published on 4. February 2025
Book
Hardback
126 pages
978-1-032-99427-7 (ISBN)
Description
This book provides a comprehensive interdisciplinary analysis of the sustainable and ethical integration of artificial intelligence (AI) within legal education, offering practical strategies for balancing innovation with ethical responsibility. Discussing the intersection of legal studies, technology and ethics, the book focuses on AI's role in reshaping professional education.
With the rising demand for digital transformation in legal education and the increasing scrutiny of AI's ethical impact, this book explores the potential of AI to enhance legal learning and practice, while critically examining the challenges of data privacy, algorithmic bias and equitable access to technology. Outlining a framework for incorporating AI into the law curriculum, the book equips the readers with both cutting-edge technological skills and a deep understanding of AI's ethical and societal implications. Drawing on a wide range of sources, including industry data and academic research, the book offers grounded, actionable guidance on implementing AI in a way that promotes inclusivity, sustainability and long-term relevance. It addresses the needs of legal education institutions, faculty and students, providing them with the tools to navigate the evolving legal landscape while maintaining ethical standards.
The book will also be of interest to researchers in the fields of law, education and AI ethics.
With the rising demand for digital transformation in legal education and the increasing scrutiny of AI's ethical impact, this book explores the potential of AI to enhance legal learning and practice, while critically examining the challenges of data privacy, algorithmic bias and equitable access to technology. Outlining a framework for incorporating AI into the law curriculum, the book equips the readers with both cutting-edge technological skills and a deep understanding of AI's ethical and societal implications. Drawing on a wide range of sources, including industry data and academic research, the book offers grounded, actionable guidance on implementing AI in a way that promotes inclusivity, sustainability and long-term relevance. It addresses the needs of legal education institutions, faculty and students, providing them with the tools to navigate the evolving legal landscape while maintaining ethical standards.
The book will also be of interest to researchers in the fields of law, education and AI ethics.
Reviews / Votes
This book provides a vital, in-depth exploration of AI integration in legal education, addressing ethical, practical and sustainability challenges with remarkable insight. By critically analysing AI's role without overlooking the essential human element, it fills a crucial gap in the AI debate, offering essential guidance for both legal educators and practitioners.Professor Michael Reynolds, The London School of Economics
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Postgraduate
Dimensions
Height: 222 mm
Width: 145 mm
Thickness: 11 mm
Weight
309 gr
ISBN-13
978-1-032-99427-7 (9781032994277)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Book
approx. 07/2026
1st Edition
Routledge
€30.00
Not yet published

E-Book
02/2025
1st Edition
Routledge
€31.49
Available for download

E-Book
02/2025
1st Edition
Routledge
€31.49
Available for download
Person
Anil Balan is a senior lecturer in professional legal education at the Dickson Poon School of Law, King's College London, and a senior fellow of the Higher Education Academy. The research in this book relates to Anil's wider research interests on enhancement of teaching, assessment and feedback for law students from culturally diverse backgrounds, in respect of which he has published numerous peer-reviewed articles in prominent journals.
Content
Introduction
1. Ethical Considerations in AI Adoption
2. Bias Mitigation and Fairness
3. Digital Divide Mitigation
4. Faculty Training and Development
5. Regulatory Compliance in AI Adoption
6. Data Privacy and Security
7. Long-Term Viability of AI Solutions
Conclusion
1. Ethical Considerations in AI Adoption
2. Bias Mitigation and Fairness
3. Digital Divide Mitigation
4. Faculty Training and Development
5. Regulatory Compliance in AI Adoption
6. Data Privacy and Security
7. Long-Term Viability of AI Solutions
Conclusion