AI and International Arbitration

A Global Program on the Intersection of Artificial Intelligence and Cross-Border Dispute Resolution

MODE
Mode(Online) TYPE
Mentor Based LEVEL
Moderate

Skills you will gain:

“AI and International Arbitration” is a cutting-edge program exploring how Artificial Intelligence is transforming international dispute resolution mechanisms. From case prediction engines and natural language processing in award drafting to AI-powered legal research and virtual hearings, this course examines practical tools and the legal-ethical frameworks governing them.

It also addresses key concerns around transparency, explainability, procedural fairness, confidentiality, and due process when AI is used in arbitral procedures. Real-world case studies from investment treaty arbitration, commercial arbitration, and state-investor disputes are explored.

Aim:

To empower legal and arbitration professionals with the knowledge and skills to integrate AI tools into international arbitration processes for enhanced efficiency, consistency, research, document review, and predictive analysis.

Program Objectives:

Introduce AI’s growing role in international dispute resolution
Equip professionals with practical tools to enhance arbitration efficiency
Encourage responsible and fair adoption of AI under institutional rules
Build awareness around data protection, bias, and auditability in arbitral AI use
Strengthen interdisciplinary collaboration between legal and tech communities

What you will learn?

Week 1: Foundations of International Arbitration and AI

Module 1: Introduction to International Arbitration

Chapter 1.1: History and Evolution of International Arbitration
Chapter 1.2: Key Players and Institutions (ICC, LCIA, SIAC, ICSID)
Chapter 1.3: Process Overview: Arbitration Agreements to Final Awards

Module 2: Understanding AI in the Legal Context

Chapter 2.1: Overview of AI Technologies (NLP, Machine Learning, LLMs)
Chapter 2.2: LegalTech Tools and Use Cases
Chapter 2.3: Limitations and Opportunities for AI in Legal Systems

Week 2: AI Integration Across the Arbitration Lifecycle

Module 3: Pre-Arbitration and Case Preparation

Chapter 3.1: Using AI for Drafting Arbitration Clauses
Chapter 3.2: Automating Legal Research and Case Summaries
Chapter 3.3: AI for Predictive Case Analytics and Strategy Design

Module 4: AI in Procedural and Evidentiary Stages

Chapter 4.1: Digital Evidence Review and Document Production
Chapter 4.2: AI-Enhanced Translation and Cross-Border Communication
Chapter 4.3: Tools for Virtual Hearings and Remote Proceedings

Week 3: Ethical, Regulatory, and Strategic Considerations

Module 5: Ethics, Bias, and Fairness in AI Arbitration

Chapter 5.1: Transparency and Explainability of AI in Legal Decisions
Chapter 5.2: Addressing Bias and Data Integrity
Chapter 5.3: Responsibility and Due Process in AI-Aided Proceedings

Module 6: Future Trends and Case Studies

Chapter 6.1: Case Study – AI in Investor-State Arbitration
Chapter 6.2: Case Study – Technology Arbitration under ICC Rules
Chapter 6.3: The Future of Smart Arbitration Systems and Online Dispute Resolution (ODR)

Intended For :

Arbitration practitioners and tribunal members
International commercial and investment lawyers
In-house legal teams at MNCs and arbitration institutions
Legal tech entrepreneurs and consultants
Postgraduate law students and PhD researchers in dispute resolution or AI ethics