| Attribute | Detail |
|---|---|
| Format | Online (e-LMS) |
| Level | Moderate |
| Duration | 3 Weeks |
| Certification | e-Certification + e-Marksheet |
| Fee | ₹10749 / $124 |
| Tools | NLP Machine Learning LLMs LegalTech tools |
About the AI and International Arbitration 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.
Program Highlights
• Comprehensive coverage of AI and International Arbitration from fundamentals to advanced applications
• Hands-on projects and real-world case studies in AI
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Practical experience with tools: NLP, Machine Learning, LLMs, LegalTech tools
• Career-oriented training for academic and professional growth in AI
Course Curriculum
Module 1: 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
Module 2: 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
Module 3: 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
Module 4: 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
Module 5: 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
Module 6: 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)
Tools, Techniques, or Platforms Covered
NLP Machine Learning LLMs LegalTech tools
Real-World Applications
- Apply AI and International Arbitration skills directly to academic research, thesis work, and publications
- Build a professional portfolio showcasing practical AI competencies
- Solve industry-relevant problems using AI and International Arbitration methodologies and tools
- Contribute to open-source projects and collaborative research in AI
- Prepare for competitive examinations, interviews, and professional certifications in AI
Who Should Attend & Prerequisites
- Industry-recognized e-Certification + e-Marksheet from NSTC
- Hands-on training with practical projects and industrial datasets
- Dedicated expert mentorship and doubt resolution
Certification
