A COMPARATIVE STUDY ON THE POTENTIAL INTEGRATION OF ARTIFICIAL INTELLIGENCE IN INDIA’S CRIMINAL AND CIVIL LEGAL SYSTEMS

A COMPARATIVE STUDY ON THE POTENTIAL INTEGRATION OF ARTIFICIAL INTELLIGENCE IN INDIA’S CRIMINAL AND CIVIL LEGAL SYSTEMS

A COMPARATIVE STUDY ON THE POTENTIAL INTEGRATION OF ARTIFICIAL INTELLIGENCE IN INDIA’S CRIMINAL AND CIVIL LEGAL SYSTEMS

AUTHORDR. SONY RAJ S. S*, ASSISTANT PROFESSORS FROM M.K.E.S COLLEGE OF LAW, MUMBAI, UNIVERSITY OF MUMBAI* & ASWIN.S**, ASSISTANT PROFESSORS FROM MKES NAGINDAS KHANDWALA COLLEGE

RAJSSSONY@GMAIL.COM

** ASWINKANNAN6273AK@GMAIL.COM

BEST CITATION – DR. SONY RAJ S. S & ASWIN.S, CASE COMMENT ON ARJUN PANDITRAO KHOTKAR V. KAILASH KUSHANRAO GORANTYAL & OTHERS, [2020] 7 S.C.R. 180, INDIAN JOURNAL OF LEGAL REVIEW (IJLR), 5 (2) OF 2025, PG. 28-34, APIS – 3920 – 0001 & ISSN – 2583-2344.

This article is published in the collaborated special issue of M.K.E.S. College of Law and the Institute of Legal Education (ILE), titled “Current Trends in Indian Legal Frameworks: A Special Edition” (ISBN: 978-81-968842-8-4).

ABSTRACT

“Artificial intelligence is the most powerful tool that we have, but it needs to be used in a way that respects human dignity.”  – Sundar Pichai (CEO of Google)                                                                                                                    

This study examines the integration of Artificial Intelligence (AI) in criminal and civil law systems, comparing its applications, benefits, and challenges. In criminal law, AI is used for predictive policing, forensic analysis, case management, and sentencing recommendations, improving efficiency and consistency. However, concerns about bias, data privacy, and ethical implications, especially regarding human rights, are raised. In civil law, AI aids in contract analysis, dispute resolution, and legal research, automating tasks and enhancing access to legal services. The study evaluates AI’s role in procedural efficiency, fairness, and legal integrity across both systems, considering various jurisdictions and case studies. It also addresses the ethical challenges of AI integration and stresses the need for a balance between innovation and justice. The study concludes with recommendations for responsible AI integration, advocating for a hybrid approach combining technological efficiency with human oversight to protect fairness and fundamental rights

Keywords: Artificial Intelligence, Criminal Law, Civil Law, Case Management, Sentencing Recommendations, Legal Ethics, Algorithmic Decision-Making.