Programme Parameters
Advanced Postgrad
3 Weeks (30 Hrs)
Online (e-LMS)
• Prior working knowledge of the field and comfort with core tools and quantitative reasoning.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
🎯 Program Aim
“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.
📋 Course Objectives
1. Apply AI Enablement methods to authentic research and industry problems.
2. Produce a reproducible, portfolio-ready project you can cite in a thesis, paper, or job application.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in AI Enablement
• R&D engineers and working professionals applying AI Enablement in industry
• Academics and educators building research or teaching capacity in AI Enablement
🚀 Key Learning Outcomes
• A portfolio-grade AI Enablement deliverable you can defend and extend.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Foundations of International Arbitration
Examine the history and evolution of international arbitration • Identify key players and institutions (ICC, LCIA, SIAC, ICSID) • Understand the process overview from arbitration agreements to final awards
Understanding AI in the Legal Context
Review an overview of AI technologies (NLP, Machine Learning, LLMs) • Explore LegalTech tools and their use cases • Analyze limitations and opportunities for AI in legal systems
AI in Pre-Arbitration and Case Preparation
Utilize AI for drafting arbitration clauses • Automate legal research and case summaries • Apply AI for predictive case analytics and strategy design
AI in Procedural and Evidentiary Stages
Conduct digital evidence review and document production • Leverage AI-enhanced translation for cross-border communication • Master tools for virtual hearings and remote proceedings
Ethical and Regulatory AI Considerations
Ensure transparency and explainability of AI in legal decisions • Address bias and data integrity challenges • Uphold responsibility and due process in AI-aided proceedings
Future Trends and Case Studies
Analyze an AI case study in Investor-State Arbitration • Explore Technology Arbitration under ICC Rules with AI applications • Assess the future of Smart Arbitration Systems and Online Dispute Resolution (ODR)
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | NLP |
| Covered Tool / Platform | Machine Learning |
| Covered Tool / Platform | LLMs |
| Covered Tool / Platform | LegalTech tools |
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