Arbitration in the Age of AI: Global Trends and Indian Implications

Last week, I read that the Chartered Institute of Arbitrators (CIArb) became one of the latest arbitration institutions to actively encourage AI adoption by establishing formal mechanisms for its use in arbitration. In March 2025, CIArb introduced its comprehensive Guideline on the Use of AI in Arbitration, which quickly became the primary reference point for AI adoption in the field by late summer.

This “soft law” instrument provides non-binding practical guidance for parties, arbitrators, and counsel to promote fairness and transparency in AI adoption. The guidelines address the responsible, transparent, and fair use of AI tools, offering structured recommendations on arbitrator and party usage, disclosure obligations, and procedural oversight. By August 2025, references to the CIArb Guideline had become standard in arbitration procedural orders and conferences, reinforcing its position as the global leader in regulating AI use in international arbitration.

It is increasingly evident that generative AI is transforming the legal field at an unprecedented pace, and international arbitration is no exception.

Party Autonomy in Arbitration

A fundamental question about AI’s application to arbitration is whether tasks that arbitrators already delegate—such as legal research, administrative tasks, and partial drafting of an award—can also be delegated to AI, with the consent of the parties.

As a consent-based and flexible form of dispute resolution, arbitration is well suited to become a key testing ground for AI. This is because arbitral tribunals are not necessarily bound by procedural rules that may constrain the ability of domestic courts to incorporate technological developments into their processes.

In addition to the principle of party autonomy under arbitration laws, which enables parties to choose the arbitral procedure, there are other compelling reasons why arbitration may embrace AI faster. Businesses—the primary users of international arbitration—are likely to create competitive pressures that require arbitration to use AI in ways that mirror their own industries, maximizing efficiency. In this manner, the slow and tardy progress of arbitral hearings could be accelerated.

However, it is to be noted that in jurisdictions like India, the principles of natural justice and procedural fairness are paramount. Any use of AI that materially affects the reasoning or outcome of an award may be challenged under Section 34 of the Arbitration Act for violating public policy or due process.

Global Institutional Responses

While CIArb led the field globally in August 2025 by encouraging AI adoption and implementing robust mechanisms for its regulated, transparent use in arbitration, it is necessary to point out other instances of AI adoption among the leading arbitration centres. For example:

• ICC (International Chamber of Commerce): The ICC Commission on Arbitration and ADR launched a task force in 2025 specifically to examine the use of AI in arbitration. This initiative focuses on research, guidance, and shaping standards for AI adoption in dispute resolution.

• AAA/ICDR (American Arbitration Association / International Centre for Dispute Resolution): In October 2024, AAA/ICDR launched the internal AAAi Panelist Search AI tool to help case managers select arbitrator candidates, and it is piloting an AI-powered Clause Builder for drafting arbitration clauses. The AAA-ICDR’s guidance prohibits an award being generated solely through AI reasoning and provides that AI tools should be used to “support—not replace—the arbitrator’s judgment and expertise.” It also recommends that arbitrators disclose the use of generative AI tools when such use “materially impacts” the arbitration process or the reasoning underlying their decisions.

• Stockholm Chamber of Commerce Arbitration Institute (SCC): In its guidance note on AI, the SCC notes that in order to manage AI’s potential, AI should be qualified by “effective human oversight,” and that practitioners should “ensure any use of AI does not lead to any reduction in the quality of their decisions.” The SCC guidance note also encourages tribunals to disclose their use of AI in tasks such as research and analysis, to ensure that the tribunal “does not exceed its mandate.”

• Silicon Valley Arbitration and Mediation Center (SVAMC): The SVAMC’s guidance imposes on lawyers a “duty of competence or diligence” in their use of AI, while also encouraging disclosure on a case-by-case basis.

• HKIAC (Hong Kong International Arbitration Centre): HKIAC has partnered with Jus Mundi to offer free AI-generated summaries and actively facilitates AI-focused discussions, including through updates to its rules.

• LCIA (London Court of International Arbitration): LCIA is engaged in broad discussions about AI through task forces and policy updates, notably in context with revisions to LCIA Rules.

• SIAC (Singapore International Arbitration Centre): SIAC supports responsible, informed adoption of AI in arbitration, noting this in its 2025 plans.

• CIETAC (China International Economic and Trade Arbitration Commission): CIETAC has pledged to vigorously promote AI in arbitration, integrating AI-powered research and case management tools.

• DIAC (Dubai International Arbitration Centre): DIAC uses AI-powered case management and analytics tools and is among regional pioneers in digitization.

Key Themes in AI Adoption

From a review of the above, it is clear that most arbitral institutions are still in the early stages of adopting procedural recommendations or guidelines for AI use. The general trend is restrictive rather than permissive, to ensure that arbitrators continue to independently analyze the law and the evidence relevant to a dispute.

However, two key themes are emerging:

1. The importance of human oversight of any use of AI.

2. Disclosure of the use of AI by tribunals.

The adoption of AI is evident, as shown by even traditional arbitration institutions like the LCIA, HKIAC, and ICC facilitating discussions on AI, both in the context of revising their Rules and proactively promoting its use in arbitration.

Institutions are also developing their own AI tools to improve efficiency. For instance, AAA/ICDR has begun using artificial intelligence to assist case managers in selecting suitable arbitrator candidates from its roster through the AAAi Panelist Search tool, currently used internally with plans to make it available to parties in the future. AAA has also launched a beta version of an AI-powered drafting tool called Clause Builder, which creates bespoke arbitration clauses.

Feasibility of AI Adoption in Arbitration

Certain types of cases frequently submitted to arbitration, such as construction or commodity disputes, often use similar or identical language in their reasoning, such as when summarizing legal principles applicable to a dispute. This makes it feasible for AI to produce a first draft of an award, subject to human validation.

In repetitive or formulaic disputes, like commodity arbitrations, AI can assist in preliminary drafting, provided human oversight ensures accuracy given the dynamics of fractals. In LegalTech, “fractal” refers to a modular, recursive approach—breaking down complex legal processes into repeatable, smaller sub-processes, much like fractal geometry’s self-similar patterns. This methodology enables standardized, consistent automation and easier adaptation to change, supporting tasks from document review to case progress tracking. Fractal structuring enhances legal analysis by representing both static and dynamic aspects of legal problems at multiple levels of scale, improving clarity, consistency, and adaptability.

Implications for Indian Arbitration Practice

While global arbitral institutions are actively exploring AI integration, India’s arbitration framework—governed primarily by the Arbitration and Conciliation Act, 1996—has yet to formally address AI adoption. However, the flexibility inherent in party autonomy and procedural discretion under Section 19 of the Act provides fertile ground for AI experimentation. Indian arbitral institutions such as MCIA (Mumbai Centre for International Arbitration) and DIAC (Delhi International Arbitration Centre) could consider issuing guidance notes or pilot programs like CIArb or AAA/ICDR.

Despite the enthusiasm, AI adoption in arbitration raises concerns around confidentiality, data protection (especially under India’s Digital Personal Data Protection Act, 2023), and due process. Arbitrators and counsel must ensure that AI tools do not compromise the integrity of proceedings or violate statutory mandates.

As arbitral institutions advance these initiatives, AI’s role in arbitration is unlikely to slow. While arbitrators must continue exercising independent judgment, this is unlikely to hinder further AI adoption. Understanding and responsibly harnessing AI is key to delivering the best results for the arbitration system and could pave the way for a more efficient, transparent, and globally harmonized future of dispute resolution.