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Article Volume 6 Issue 2 44 - 49 March 14, 2024

A brief study of Legal Advantages and Disadvantages of Artificial Intelligence in Legal Services in Contemporary World with special reference to India

Lead author · Corresponding
Poulomi Bhowmik
Assistant Professor of Law at Indian Institute of Legal Studies Cooch Behar, India
Abstract

Artificial Intelligence has a huge impact in all the developed and even developing nations. In every field, its use has been increasing day by day. In legal area, its use hasn’t been accepted in large number like other work field. In view of the current use of Artificial Intelligence, it can be easily said that very soon it will be accepted widely. Efficiency, time saving, cost saving, automatic repetitive task, reducing risks, accurate legal searching and findings are some its advantages. Through Artificial Intelligence, legal research can be improved, paper work duty can be solved and proper data can be received. Though Artificial Intelligence has both advantages and disadvantages of its own, Artificial Intelligence should be used very carefully. Legal practitioners and judges should be aware of its use. Law firms are more open minded in its acceptance so that their human labour can be reduced, time can be saved and most importantly money can be saved. In India, its acceptance by all lawyers and law students will take some more time. In the field of Artificial Intelligence, the most relevant legislation operating AI systems is Information Technology Act, 2000. But India needs a comprehensive legislating which will be dealing with AI. Lack of statutes governing in this area, lack of guidelines by government, issues relating to Intellectual Property Rights creates hindrance in proper working of Artificial Intelligence even in the area of legal services.

Type
Article
Information
International Journal of Legal Science and Innovation, Volume 6, Issue 2, Page 44 - 49
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
Copyright
Copyright © IJLSI 2026
Disclaimer
The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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