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The Rise Of AI In Arbitration: A Revolution In Legal Practice




Tanya Arya, B.A LL.B., Vivekananda Institute of Professional Studies, New Delhi


ABSTRACT


The integration of Artificial Intelligence (AI) into arbitration represents a transformative development in legal practice, promising significant enhancements in efficiency and effectiveness. This essay explores the role of AI in arbitration, examining its applications in document collection, legal research, and procedural streamlining. AI tools, such as predictive coding and advanced research platforms, offer considerable benefits in managing large volumes of data and supporting administrative tasks. However, their use raises critical considerations regarding the preservation of human oversight and the safeguarding of confidentiality.


The essay emphasizes that while AI can aid in arbitration, it must not replace the personal mandate of arbitrators, especially in the decision-making process. The responsibility of arbitrators to independently analyze facts, law, and evidence remains paramount and cannot be delegated to AI tools. The guidelines for AI use in arbitration stress the importance of maintaining transparency, protecting sensitive information, and ensuring that AI tools are employed responsibly. By addressing these concerns, the essay underscores the need for a balanced approach that leverages AI's capabilities while upholding the integrity and fairness of arbitration proceedings.

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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