Eligibility

✅ Law students (UG/PG)

✅ Recent law graduates

✅ Lawyers and advocates

✅ Corporate legal professionals

✅ Any one interested in upskilling

Whom It Is NOT For

✅ Individuals not seeking career growth

✅ Those avoiding skill development

✅ Not interested in the booming industry

✅ Expecting shortcuts without effort

✅ Passive learning mindset

Module 1: Introduction to Artificial Intelligence and Law

• Meaning and scope of Artificial Intelligence 
• AI applications in the legal industry
• Intersection of AI and law — challenges and opportunities
• Ethical and legal implications of AI-generated content

Module 2: Overview of Intellectual Property Rights

• Concept, types and objectives of IPR
• Relationship between innovation, creativity, and IP protection
• Indian IPR regime and international frameworks 
• Key statutes governing IPR in India 

Module 3: AI and Trademark Law

• AI’s impact on trademark search, registration, and infringement
• Algorithmic confusion and brand impersonation
• AI-generated logos and branding — ownership issues
• AI’s role in combating trademark violations

Module 4: AI and Copyright Law

• Who is the “author” in AI-generated works?
• Copyrightability of AI-generated content under Indian and global laws
• Comparative study — UK, EU, and US 
• Case laws and policy positions on machine creativity
• Practical challenges in proving originality and infringement in AI works

Module 5: AI and Patent Law

• Can AI be an inventor?
• Patentability of AI systems and AI-generated inventions
• Global patent office positions (IPO, USPTO, EPO, WIPO)
• Case studies — DABUS and related international decisions
• Indian legal position on AI inventorship

Module 6: AI and Trade Secrets

• AI in data-driven businesses — protection of training data as trade secrets
• Risks of data leakage and reverse engineering
• Contractual and technological safeguards for protecting confidential AI data

Module 7: Data Protection, Privacy, and IP Interface

• Personal Data Protection Act, 2023 — relevance for AI systems
• Data ownership and usage rights in machine learning
• Balancing innovation and privacy in AI applications
• Data sharing, licensing, and cross-border legal challenges

Module 8: Liability and Accountability in AI-Created Works

• Legal personality of AI systems — myths vs reality
• Attribution of liability for AI-caused infringement
• Developer, owner, or user — who is responsible?
• Current judicial trends and regulatory vacuum

Dr. Debmita Mondal

Dr. Debmita Mondal has 10+ years of academic experience and specialises in constitutional, regulatory and technology-related legal frameworks, contributing strong conceptual clarity on AI and digital governance issues.

Adv. Vidushi Verma

Adv. Vidushi Verma is an Assistant Professor of Law and UGC NET 2024 qualified. She is an LLM Gold Medallist from NLU Odisha and has 4+ years of industry experience, including her role as Assistant Manager (Legal) at HDFC Limited. She focuses on regulatory compliance and emerging technology law.

Ms. Akanksha Mathur

Ms. Akanksha Mathur specialises in Intellectual Property Law and previously served as Senior Research Associate at CUTS International. She brings academic and research expertise in IP regulation, policy and technology-driven legal challenges.