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Digital Jurisprudence And AI: Navigating The New Frontier In Judicial Decision-Making




Dr. Apoorwa Sharma, Assistant Professor, Government Law College, Churu (Rajasthan)


ABSTRACT


The rapid evolution of digital technology and artificial intelligence (AI) has significantly altered the landscape of legal theory and judicial practice. This paper examines the concept of digital jurisprudence—an emergent field that explores how digital technologies and AI are transforming judicial decision- making, legal reasoning, and the administration of justice. The research provides a historical context for digital integration into legal processes, discusses the theoretical underpinnings of digital jurisprudence, and offers a critical evaluation of AI’s impact on transparency, accountability, bias, and due process in judicial settings. Through comparative analysis, case studies, and regulatory reviews from multiple jurisdictions, the paper articulates the opportunities and challenges presented by AI integration into the courts. In conclusion, comprehensive recommendations for legal reform, interdisciplinary collaboration, and ethical implementation are proposed as strategic imperatives for ensuring that the digital transformation fortifies, rather than impairs, the foundational values of justice.


Keywords: Digital Jurisprudence, Artificial Intelligence, Digital Transformation. Bias Mitigation. Ethical AI



Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

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Licensing: 

 

All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

 

Disclaimer:

The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

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