AED
UAD Dirham
Code: AED
Mentor Based
AI and International Arbitration
A Global Program on the Intersection of Artificial Intelligence and Cross-Border Dispute Resolution
Early access to e-LMS included
About This Course
“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
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Introduce AI’s growing role in international dispute resolution
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Equip professionals with practical tools to enhance arbitration efficiency
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Encourage responsible and fair adoption of AI under institutional rules
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Build awareness around data protection, bias, and auditability in arbitral AI use
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Strengthen interdisciplinary collaboration between legal and tech communities
Program Structure
Week 1: Foundations of International Arbitration and AI
Module 1: Introduction to International Arbitration
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Chapter 1.1: History and Evolution of International Arbitration
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Chapter 1.2: Key Players and Institutions (ICC, LCIA, SIAC, ICSID)
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Chapter 1.3: Process Overview: Arbitration Agreements to Final Awards
Module 2: Understanding AI in the Legal Context
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Chapter 2.1: Overview of AI Technologies (NLP, Machine Learning, LLMs)
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Chapter 2.2: LegalTech Tools and Use Cases
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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
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Chapter 3.1: Using AI for Drafting Arbitration Clauses
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Chapter 3.2: Automating Legal Research and Case Summaries
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Chapter 3.3: AI for Predictive Case Analytics and Strategy Design
Module 4: AI in Procedural and Evidentiary Stages
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Chapter 4.1: Digital Evidence Review and Document Production
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Chapter 4.2: AI-Enhanced Translation and Cross-Border Communication
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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
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Chapter 5.1: Transparency and Explainability of AI in Legal Decisions
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Chapter 5.2: Addressing Bias and Data Integrity
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Chapter 5.3: Responsibility and Due Process in AI-Aided Proceedings
Module 6: Future Trends and Case Studies
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Chapter 6.1: Case Study – AI in Investor-State Arbitration
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Chapter 6.2: Case Study – Technology Arbitration under ICC Rules
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Chapter 6.3: The Future of Smart Arbitration Systems and Online Dispute Resolution (ODR)
Who Should Enrol?
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Arbitration practitioners and tribunal members
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International commercial and investment lawyers
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In-house legal teams at MNCs and arbitration institutions
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Legal tech entrepreneurs and consultants
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Postgraduate law students and PhD researchers in dispute resolution or AI ethics
Program Outcomes
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Understand the legal and procedural implications of using AI in arbitration
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Learn to evaluate and adopt AI tools for specific arbitration tasks
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Address ethical, procedural, and regulatory challenges in AI-enabled proceedings
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Simulate AI-assisted arbitral tasks (evidence sorting, clause analysis, draft generation)
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Earn a Certificate in “AI and International Arbitration Practices”
Fee Structure
Discounted: ₹21499 | $249
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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