Digital Contracts, E-Commerce Transactions and Corporate Legal Risk Management in the AI Era
Learn to draft, review and manage digital contracts, e-commerce agreements and corporate legal risks in today’s AI-driven business environment.
About This Course
This workshop focuses on contract law in the digital economy, with special emphasis on e-contracts, electronic consent, online agreements, corporate commercial transactions, AI-assisted contract drafting, and legal risk management. Participants will understand how contract principles apply to digital platforms, service agreements, vendor contracts, confidentiality clauses, data usage clauses, and dispute-related risks.
The workshop is designed for law students, legal professionals, corporate teams, entrepreneurs, business professionals, compliance officers, and learners interested in contract drafting and commercial legal practice.
Aim
To train participants in understanding and drafting practical contract clauses for digital transactions, e-contracts, corporate agreements, and AI-assisted legal documentation.
Course Objectives
- To explain the fundamentals of contract law in digital transactions
- To introduce e-contracts, electronic consent, and digital agreement validity
- To train participants in drafting basic commercial clauses
- To examine confidentiality, liability, indemnity, data usage, and IP ownership clauses
- To help participants identify legal risks in digital and corporate agreements
Syllabus
📅 Module 1 – Foundations of E-Contracts and Digital Transactions
- Introduction to contract law in the digital economy
- Traditional contracts vs e-contracts
- Offer, acceptance, consideration, consent, and capacity in online agreements
- Electronic signatures and digital consent
- Click-wrap, browse-wrap, and shrink-wrap agreements
- Validity and enforceability of e-contracts
- Common risks in online transactions
- Role of AI in contract drafting and review
Hands-On Tools: Google Docs, ChatGPT / Claude / Gemini, Sample E-Contract Templates
📅 Module 2 – Corporate Contract Clauses and Legal Risk Review
- Service agreements and vendor contracts
- Confidentiality and non-disclosure clauses
- Data usage and data protection clauses
- IP ownership and licensing clauses
- Limitation of liability and indemnity clauses
- Termination and dispute resolution clauses
- Jurisdiction and governing law clauses
- Identifying missing safeguards in commercial contracts
Hands-On Tools: ChatGPT / Claude / Gemini, Google Docs, Contract Review Checklist
📅 Module 3 – Contract Drafting, Negotiation and Compliance Documentation
- Contract drafting workflow
- Clause structuring and plain-language drafting
- Risk allocation in commercial agreements
- AI-assisted contract review: benefits and limitations
- Contract compliance checklist
- Common drafting mistakes
- Preparing a basic corporate agreement
- Legal documentation for business transactions
Hands-On Tools: ChatGPT / Claude / Gemini, Google Docs, Google Sheets
Who Should Enrol?
Law students, advocates, legal professionals, corporate legal teams, business professionals, entrepreneurs, compliance officers, management students, LegalTech learners, and professionals working with digital agreements or vendor contracts.
Course Outcomes
- Understand the legal validity and enforceability of e-contracts and digital transactions.
- Draft basic contract clauses for digital business and corporate agreements.
- Identify legal risks in commercial agreements, vendor contracts, and online transactions.
- Use AI tools responsibly for contract review, drafting support, and risk identification.
- Prepare a basic contract risk checklist for corporate and digital agreements.
- Understand key clauses such as confidentiality, indemnity, limitation of liability, data usage, and IP ownership.
- Apply practical contract review skills in corporate, legal, and compliance settings.
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.
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
AI-Powered Industrial Digital Twins: Smart Manufacturing, Predictive Maintenance & Process Optimization
- 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






