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.
About This Course
This advanced, mentor-based program is meticulously crafted for lawyers, in-house counsel, compliance officers, and legal technologists seeking to lead in the age of AI. The course delivers a rigorous blend of legal theory, ethical frameworks, and hands-on training in AI-powered contract analysis, with a strong focus on the regulatory realities of the EU and US. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This advanced, mentor-based program is meticulously crafted for lawyers, in-house counsel, compliance officers, and legal technologists seeking to lead in the age of AI. The course delivers a rigorous blend of legal theory, ethical frameworks, and hands-on training in AI-powered contract analysis, with a strong focus on the regulatory realities of the EU and US.
📋 Course Objectives
1. Apply biotechnology methods to authentic research and industry problems.
2. Assemble a documented case study that evidences your applied capability.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in biotechnology
• R&D engineers and working professionals applying biotechnology in industry
• Academics and educators building research or teaching capacity in biotechnology
🚀 Key Learning Outcomes
• A portfolio-grade biotechnology 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
AI in the Legal Sector—Context and Challenges
Chapter 1.1: AI and Machine Learning for Legal Professionals Advanced overview: AI in litigation, compliance, due diligence • Case examples from major law firms and in-house departments
Applied AI Ethics for Law Practice
Chapter 2.1: Advanced Ethical Principles in Legal AI Conflicts of interest, unauthorized practice, duty of candor • Discrimination, bias, and disparate impact in algorithmic tools
Data Protection and AI Compliance
Chapter 3.1: Deep Dive—GDPR, EU AI Act, and Digital Markets Act Cross-border data transfer for legal work • AI-specific obligations for legal service providers
Managing Complex Legal Risks in AI Implementation
Chapter 4.1: Contracting for AI Solutions—Key Clauses and Traps Due diligence, warranties, limitation of liability, indemnities • Service level agreements (SLAs), data ownership, and security
Advanced AI Tools for Contract Review
Chapter 5.1: Selecting and Vetting Legal AI Vendors RFPs, vendor risk assessment, security protocols • Comparative analysis: Kira Systems, Luminance, Law Geex, Relativity
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Westlaw |
| Covered Tool / Platform | LexisNexis |
| Covered Tool / Platform | Microsoft Office |
| Covered Tool / Platform | AI Legal Tools |
| Covered Tool / Platform | Contract Analysis Software |
Frequently Asked Questions
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