Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Shukla, Shraddha; Ray, Ipsita Title A name given to the resource The Paradigm of Party Autonomy: Towards a Viable AI-Driven Pre-Arbitration Framework in India Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived International Journal of Legal Information; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1515/ijli-2025-0009" target="_blank" rel="noreferrer noopener">https://doi.org/10.1515/ijli-2025-0009</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105037163925?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037163925?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Shukla S., Research Scholar, Christ University, Bengaluru, India; Ray I., Christ University, Bengaluru, India Description An account of the resource Arbitration proceedings in India are adversely affected by multiple adjournments and procedural uncertainties in the courts. To ensure limited judicial intervention, certain procedural tasks can be automated via artificial intelligence (AI) to improve the efficiency of the arbitration process. The objective of the paper is to examine the current state of the Indian judicial framework and assess the procedural feasibility of incorporating AI to address arbitration-related limitations. The research employs a thematic review of the literature to assess the use of AI in dispute resolution proceedings. In addition, using a comparative research methodology, the study critically analyzes the technological and policy-related initiatives taken by both India and China in their respective judicial systems. Findings suggest that reliance on the party autonomy principle in arbitration is a solution to the limitations that disincentivize governments from implementing AI-powered automation in dispute resolution. The paper, therefore, recommends an integrative approach to AI technology that partially automates arbitration proceedings in the courts. 2026 Walter de Gruyter GmbH, Berlin/Boston 2026. Subject The topic of the resource arbitration; artificial intelligence; party autonomy; procedural efficiency Publisher An entity responsible for making the resource available Walter de Gruyter GmbH Relation A related resource ISSN: 7311265; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online