Artificial Intelligence and Legal Evidence

This book explores AI's impact on legal evidence, with a particular focus on its use within Indian law, by identifying the key feature of an Artificial intelligence-driven Justice Delivery System. It seeks to bridge the gap in the literature on the intersection of AI and law, specifically the evaluation of evidence. The book focuses on AI's potential to enhance the evaluation of evidence in various legal contexts. It considers the reliability, admissibility, and standardisation of AI-generated evidence in legal proceedings. The key features of the book are: . Presents case studies and examples from multiple branches of law, exploring AI's use in evidence collection, analysis, and evaluation across diverse legal domains. . Offering a unique perspective on AI and legal evidence within India, the book provides a critical look at how AI can be integrated into India's legal framework and the implications for the country's judicial system. . Addresses the policy gaps and regulatory frameworks needed to govern AI in the legal sphere, with a focus on India's evolving stance on AI. . Emphasizes the need for ethical standards and privacy protection while using AI to evaluate legal evidence, examines the challenges in ensuring the validity and fairness of AI-generated evidence. . Highlights the future potential of AI in transforming the legal industry, particularly in terms of improving efficiency, reducing bias, and enabling more effective evidence evaluation. The book will be useful for academicians and scholars interested in Artificial Intelligence's impact and use in the legal system.

Sarfaraz Ahmed Khan is currently serving as a Professor at West Bengal National University of Juridical Sciences. He previously served as Professor and Director at Symbiosis Law School, Hyderabad. He is involved in research intertwining the Criminal Justice Administration, Human Rights and Human Trafficking. He has authored several books on these subjects, including The Transnational Sex Trafficking: An Integrated Reparation Model (Thomson Reuters, 2019) which emphasizes on a human rights dimension of cross border sex- trafficking between India and Bangladesh. He is a recipient of prestigious fellowships including the British Chevening Scholarship, Hong Kong UGC Scholarship, Michigan Grotius Research Fellowship, and the U.S. Department of State's IVLP Fellowship. Lovely Dasgupta is currently serving as a Professor at the West Bengal National University of Juridical Sciences. She has been teaching and researching Sports Law, Contract, and Legal Education. Her key publications include: Esports and the World Anti-Doping Code (Routledge, UK); Online Gaming in India Technology, Policy, and Challenges, Edited By Lovely Dasgupta, Shameek Sen, (Chapman & Hall) and Sport in Contemporary India Society, Culture and Governance, Edited by Surajit C Mukhopadhyay, Lovely Dasgupta, (Routledge,UK). Saptarshi Ghosh is an Associate Professor at the Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Kharagpur. His current research interests are in Legal data analytics, AI and Sustainability, and Algorithmic bias and fairness. His research is inter-disciplinary and uses techniques from Machine Learning, Natural Language Processing, Information Retrieval, and Complex Network Theory. He received his PhD in Computer Science from IIT Kharagpur in 2013. He was a Humboldt Post-doctoral research fellow at the Max Planck Institute for Software Systems (MPI-SWS), Germany. He heads a Max Planck Partner Group at IIT Kharagpur, that focuses on algorithmic bias and fairness. He is presently an Editor-in-Chief of the journal "Artificial Intelligence and Law", the premier journal in the domain of AI and Law. Kripabandhu Ghosh is an Associate Professor at Indian Institute of Science, Education and Research, Kolkata. He completed his PhD (Computer Science) at the Indian Statistical Institute, Kolkata. His research interests include information retrieval, data mining, and AI in the legal domain; information extraction from social media text in disaster situations; fairness in text summarization; and data mining on noisy text.

Chapter 1: Beyond Accuracy: Evaluating LLMs for Evidentiary Use in Legal Contexts. Chapter 2: From Paper Trails to Algorithms: AI Impact on Evidence in Law. Chapter 3: From Lab Bench to Legal Bench: The Role of AI in Evaluating Biological Evidence. Chapter 4: Digital Justice: How Technology Can Transform Evidence in India. Chapter 5: Recreating reality: testing the admissibility of ai-powered cyber crime scene reconstruction. Chapter 6: The dual role of artificial intelligence in anti-money laundering: challenges in evidence admissibility and governance in India. Chapter 7: Evolving Role of AI in Precedent Search. Chapter 8: Artificial intelligence driven evidence in arbitral proceedings: a panacea or an anathema? Chapter 9: Pioneering AI in Indian Sports Legal and Evidentiary Foundations for Tomorrow's Innovations. Chapter 10: Predictive policing meets procedural law-crafting admissibility standards for AI-driven forensic tools in indian criminal justice. Chapter 11: Telemedicine Platforms and AI: Legal Challenges in India. Chapter 12: Navigating ai in insurance: legal perspectives on evidence, fraud, and risk evaluation. Chapter 13: Regulating AI-Driven Facial Recognition in Policing: Legal and Ethical Imperatives for India. Chapter 14: Artificial intelligence and product liability- A Consumer Protection Act, 2019 perspective. Chapter 15: Ethical challenges in using artificial intelligence for evidence generation in criminal investigations: balancing innovation and justice. Chapter 16: Designing 'legitimate' AI-driven Evidence Mechanism from the Rule of Law perspective. Chapter 17: Honour Killings and Digital Justice: The Role of AI in Modernising Legal Evidence in India. Chapter 18: The Future of Due Diligence: Integrating Retrieval Augmented Generation into Corporate Legal Workflows. Chapter 19: Redefining Worker in the Age of AI: Challenges and Legal Reforms for Labour Laws in India. Chapter 20: The future of legal evidence with the help of artificial intelligence and e-discovery. Chapter 21: Beyond a reasonable bot: preserving judicial discretion in AI-Augmented adjudication.