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Research Paper Volume 8 Issue 4 294 - 304 July 10, 2025

The Integration of Artificial Intelligence in Corporate Dispute Resolution Mechanism: Legal Frameworks and Ethical Considerations

Lead author · Corresponding
Herambh Bhatia
Student at Gitarttan International Business School, Delhi, India
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.1110432
Abstract

This Article aims to analyze the Introduction and Integration of Artificial Intelligence in the field of Corporate Dispute Resolution Mechanism. The study regarding the increase in use of Artificial Intelligence by firms for Dispute Resolution is conducted through this article. The main types of Corporate Dispute Resolution Methods resorted to by Corporate Firms at mass level are Negotiation, Arbitration and Mediation. This Article scrutinizes the incorporation of various of Artificial Intelligence driven platforms and tools in the methodology of most resorted Dispute Resolution Methods. The Article also aims to highlight the benefits that are received by the use of such Tools and AI Algorithms in Dispute Resolution Mechanism, while raising concerns over certain areas. The use of AI helps in maintaining the efficacy and effectiveness of such methods while reducing the cost and time employed in the process. But the use of AI may lead to certain disadvantages. Due to absence of certain provisions governing its use, there are certain ethical and legal uncertainties which should be addressed by passing resolutions.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 8, Issue 4, Page 294 - 304
DOI: https://doij.org/10.10000/IJLMH.1110432
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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.
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Copyright © IJLMH 2026
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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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