Generative AI, Intellectual Property Rights, Contracts and Global Legal Compliance
Navigate the future of AI law with practical skills in IPR, contracts, compliance, and responsible legal-tech governance.
About This Course
This advanced international workshop focuses on the legal challenges created by Generative AI in the areas of intellectual property rights, digital content ownership, contract drafting, e-contracts, corporate compliance and legal risk management. With AI tools increasingly used in research, education, business, media, legal drafting and innovation, professionals need to understand how copyright, patents, licensing, data usage, liability and contractual responsibility apply to AI-generated outputs.
The workshop is designed for law students, researchers, academicians, legal professionals, corporate teams, compliance officers, policy researchers and professionals working with AI-enabled systems. Participants will explore practical legal scenarios involving AI-generated content, AI-assisted contracts, IP ownership, platform liability, data protection, and institutional AI governance.
The sessions will include discussion-based learning, case-based analysis and hands-on activities using AI tools for legal risk identification, contract clause drafting, copyright analysis and compliance checklist preparation.
Aim
The aim of this workshop is to provide participants with advanced legal understanding of Generative AI, IPR, contracts and compliance so they can identify legal risks, draft responsible AI-related clauses, evaluate ownership issues and support ethical AI adoption in academic, legal and corporate environments.
Course Objectives
- Understand the legal implications of Generative AI in IPR, contracts and compliance.
- Analyze copyright and ownership issues related to AI-generated content.
- Understand legal risks associated with AI training data, licensing and digital content use.
- Evaluate the role of AI in contract drafting, e-contracts and commercial transactions.
- Draft basic AI-related contractual clauses for liability, confidentiality and IP ownership.
- Prepare AI compliance checklists for institutions, companies and legal teams.
- Use AI tools responsibly for legal research, legal drafting and risk analysis.
- Understand global legal and ethical concerns around AI adoption.
Syllabus
📅 Module 1 – Generative AI and Intellectual Property Rights
- Introduction to Generative AI in legal, academic, research, and creative domains
- AI-generated text, images, code, legal summaries, and research outputs
- Copyright protection and legal concerns around AI-generated content
- Human authorship vs machine-generated work
- Ownership of AI-created outputs and digital content rights
- Training data, scraping, licensing, and copyright infringement risks
- Patentability of AI-assisted inventions
- AI-generated plagiarism, originality, and academic integrity concerns
- Emerging international concerns in AI and Intellectual Property Rights
Hands-On Activity: AI-generated content copyright risk analysis using a sample article, image-description, or legal summary
Hands-On Tools: ChatGPT / Gemini / Claude, Google Docs, WIPO Resources
📅 Module 2 – AI, Contracts, E-Contracts and Corporate Legal Risk
- AI-assisted contract drafting and contract review
- Use of AI in negotiation, commercial transactions, and digital agreements
- E-contracts, digital consent, and validity of AI-assisted legal documentation
- Contractual liability for AI-generated errors
- AI vendor agreements and AI service contracts
- Data usage clauses in AI contracts
- IP ownership clauses in AI-based projects
- Confidentiality and non-disclosure in AI workflows
- Limitation of liability, indemnity clauses, and human review requirements
- Smart contracts, blockchain-based obligations, and automated decision-making risks
Hands-On Activity: Drafting AI contract clauses and reviewing a short AI-service agreement for missing legal safeguards
Hands-On Tools: ChatGPT / Gemini / Claude, Google Docs, AI Contract Clause Templates
📅 Module 3 – AI Compliance, Legal Governance and Institutional Policy Drafting
- Introduction to AI compliance and responsible AI governance
- Global AI governance and risk-based regulation
- Responsible AI principles: fairness, transparency, accountability, and human oversight
- AI use in universities, research organizations, companies, and law firms
- Data privacy and confidentiality concerns in AI adoption
- AI governance committees and institutional approval processes
- AI usage policy for institutions and companies
- Legal risk registers for AI projects
- AI documentation, audit readiness, and compliance reporting
- Compliance checklist preparation for responsible AI adoption
Hands-On Activity: Preparing an AI compliance checklist for an institution, legal office, or company
Hands-On Tools: ChatGPT / Gemini / Claude, Google Docs, Google Sheets / Notion
Who Should Enrol?
Open to law students, researchers, academicians, legal professionals, compliance officers, corporate teams, policy researchers, and professionals interested in AI law, IPR, contracts, and legal compliance.
Prerequisite: Basic understanding of law or policy is helpful but not mandatory. No coding knowledge required.
Course Outcomes
- Explain key legal issues related to Generative AI and intellectual property.
- Identify copyright, licensing and authorship risks in AI-generated content.
- Understand how AI affects contracts, e-contracts and corporate transactions.
- Draft simple AI-related contract clauses for legal and institutional use.
- Prepare basic compliance checklists for responsible AI deployment.
- Apply legal reasoning to AI-related disputes and business scenarios.
- Use AI tools for legal research, policy drafting and structured risk analysis.
- Understand how legal professionals can adapt to AI-driven legal practice.
Meet Your Mentor(s)
Course fee
Learners in India
₹2,499
Learners outside India
$50
- Video lectures
- Study material
- Certificate after completion
- 365-day access
The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.
Frequently asked questions
How is this course taught?
Through recorded video lectures from the original live workshop, with the study material. Watch at your own pace, any time.
How long do I have access?
365 days from your registration, on your NanoSchool dashboard.
Do I get a certificate?
Yes, an e-certificate after completion, with a QR code anyone can verify and an "Add to LinkedIn" button.
How can I pay?
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
What is the refund policy?
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
More upcoming workshops
Live, mentor-led and certified. Dates and times in IST.
Agentic AI Engineering: Planning, Tool Use & Multi-Agent Orchestration
- Dates
- 9–11 Nov 2026
- Time
- 7:00 PM IST
- Duration
- 3 Days
- Level
- Moderate
- Student₹2,499
- Ph.D. Scholar / Researcher₹3,499
- Academician / Faculty₹4,499
- Industry Professional₹5,499
Environmental Exposomics in R: PFAS, Chemical Mixtures and Metabolomics
- Dates
- 16–18 Nov 2026
- Time
- 5:30 PM IST
- Duration
- 3 Days
- Level
- Moderate
- Student₹2,499
- Ph.D. Scholar / Researcher₹3,499
- Academician / Faculty₹4,499
- Industry Professional₹6,499
Plant Metabolomics: Bioactive Compounds, Pathway Analysis & Stress Biomarkers
- Dates
- 16–18 Nov 2026
- Time
- 5:30 PM IST
- Duration
- 3 Days
- Level
- Moderate
- Student₹3,000
- Ph.D. Scholar / Researcher₹4,000
- Academician / Faculty₹5,000
- Industry Professional₹7,000
AI-Driven Polymer Composites: Microstructure Analysis, Property Prediction & Inverse Design
- Dates
- 16–18 Nov 2026
- Time
- 5:30 PM IST
- Duration
- 3 Days
- Level
- Advanced
- Student₹2,999
- Ph.D. Scholar / Researcher₹3,999
- Academician / Faculty₹4,999
- Industry Professional₹5,999
Custom LLM Development: Fine-Tuning, QLoRA, RAG & AI Application Deployment
- Dates
- 17–19 Nov 2026
- Time
- 5:30 PM IST
- Duration
- 3 Days
- Level
- Advanced
- Student₹2,999
- Ph.D. Scholar / Researcher₹3,999
- Academician / Faculty₹4,999
- Industry Professional₹5,999
Wastewater-Based Epidemiology: Pathogen Surveillance, Viral Monitoring & Public Health Analytics
- Dates
- 18–20 Nov 2026
- Time
- 5:30 PM IST
- Duration
- 3 Days
- Level
- Moderate
- Student₹3,000
- Ph.D. Scholar / Researcher₹4,000
- Academician / Faculty₹5,000
- Industry Professional₹7,000






