The Quarterly Journal of Judicial Law Views

The Quarterly Journal of Judicial Law Views

Judicial Decision-Making and the Transformation of the Legal System in Light of the Application of Artificial Intelligence

Document Type : Research/Original/Regular Article

Authors
1 Master of Science in Private Law, Faculty of Humanities, Islamic Azad University (Lahijan Branch), Lahijan, Iran
2 Associate Professor, Department of Law, Faculty of Literature and Humanities, University of Ilam, Ilam, Iran
Abstract
Abstract

With the rapid advancement of artificial intelligence (AI) and its integration into various domains, one of the most critical and controversial issues is the potential application of AI in the judicial system and the possibility of replacing human judges. AI can enhance the efficiency, speed, and accuracy of judicial proceedings by analyzing vast volumes of legal data and streamlining case resolution processes. However, judicial decision-making goes beyond the mere application of legal rules; it involves the interpretation of legal norms, ethical considerations, and the balancing of formal and substantive justice—dimensions that remain complex for machines to grasp and execute. This study, conducted through a descriptive-analytical approach and based on library-based research, examines the capacities, opportunities, and challenges associated with AI in judicial decision-making and assesses the feasibility of replacing human judges with intelligent systems. The findings reveal that although systems such as ChatGPT, Casetext, Legal Robot, and Kira can serve as effective tools in information processing and supporting judicial decisions, they lack the ability to comprehend the deeper concepts of justice and exercise independent legal reasoning. Therefore, while AI can serve as a valuable assistant within the judicial process, its complete substitution for human judges appears to face significant theoretical and practical obstacles.
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Volume 31, Issue 113
Winter 2026
Pages 55-76

  • Receive Date 27 May 2025
  • Revise Date 20 November 2025
  • Accept Date 08 November 2025