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A Critical Analysis Of The Impact Of Artificial Intelligence (AI) In Indian Judicial System And Existing Legal Framework

Updated: Oct 28




Dr. Bhaswatee Pathak, Assistant Professor, Jorhat Law College, Jorhat


ABSTRACT


Artificial intelligence popularly known as AI is a great contribution of advancement of modern science and technologies. It is generally understood as a broad field of Computer Science where the technology experts creates such machines which are capable of performing works which normally requires human intelligence. Proper and authentic use of AI can enhance the ability of human beings to perform any task cost-effectively without any error. Although AI is applicable to variety of fields, it is also used in legal parlance generally known as Legal Artificial Intelligence. The term refers to use of AI in the various facets relating to technologies in the legal field. The application of AI in the India judicial system has its own pros and cons. The AI powered tools have the ability to bring revolution in the whole judicial system by analyzing large legal data in a speedy and efficient manner, enhancing quality of legal research, efficient management of cases. Through this paper the researcher will try to highlight the positive and negative impacts of AI in Indian judicial system, related case laws decided by the competent judiciary and suggestions for enhancing efficiency of AI powered tools in the judicial process.


Keywords: Artificial Intelligence, Indian Judiciary, Predictive Analytics, AI driven tools, human intelligence.



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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