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Role Of AI In Modern Company Legal Disputes




Vedang Kapoor, LLM (Crim L.), Amity University Uttar Pradesh.

Dr Taru Mishra, Asst. Prof, Amity University Uttar Pradesh.


ABSTRACT


Artificial Intelligence (AI) is rapidly transforming the corporate legal landscape, serving both as a valuable tool and a complex challenge in modern legal disputes. In company operations, AI aids in contract analysis, compliance, litigation prediction, and dispute resolution. However, its integration raises significant legal questions around data privacy, algorithmic bias, liability, and transparency. This paper examines the dual role of AI as both a facilitator of legal efficiency and a source of new legal complexities within corporate settings. Through a comparative and interdisciplinary lens, it explores AI’s influence on dispute management, regulatory compliance, and ethical corporate conduct. Furthermore, the study highlights landmark legal cases from India and globally, including Zomato’s AI algorithm controversy and the Facebook–Cambridge Analytica scandal, to illustrate the multifaceted legal implications of AI deployment. With AI systems increasingly making autonomous decisions, companies face a pressing need to navigate evolving legal frameworks and ethical considerations. The paper concludes by emphasizing the importance of regulatory harmonization, robust governance mechanisms, and enhanced accountability to foster responsible AI usage in corporate legal environments.


Keywords: Artificial Intelligence, Corporate Law, Legal Disputes, Algorithmic Bias, Data Privacy



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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