AI and International Arbitration

Aim

Program Objectives

Program Structure

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)

Who Should Enrol?

Program Outcomes

Fee Structure

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