Programme Parameters
Graduate / Intermediate
8 Weeks (80 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
This self-paced program provides an in-depth exploration of advanced AI tools for contract drafting and management, and the ethical implications of using AI in legal practice. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This self-paced program provides an in-depth exploration of advanced AI tools for contract drafting and management, and the ethical implications of using AI in legal practice.
📋 Course Objectives
1. Put biotechnology techniques to work on real datasets and case studies.
2. Build a defensible project you can showcase to supervisors, reviewers, or employers.
👥 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
Contract Management End to End
• Intake, drafting, negotiation, execution and obligation management
• Where automation reduces cycle time and where it introduces risk
• Contract data models and clause libraries
Clause and Obligation Analysis
• Automated clause identification and metadata extraction at portfolio scale
• Obligation, renewal and termination tracking
• Extraction error as a commercial risk, and verification sampling
Drafting and Negotiation Support
• Playbook-driven review and deviation detection against standard positions
• Risk scoring of non-standard terms
• Redlining assistance and preserving negotiating intent
Professional and Commercial Duties
• Confidentiality of counterparty information in third-party tools
• Unauthorised practice of law and the boundary for non-lawyer users
• Bias and fairness in automated commercial decisions
Deploying in a Legal Function
• Vendor diligence, data residency and retention terms
• Audit trails and demonstrating human review of automated output
• Measuring benefit beyond hours saved
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | TensorFlow |
| Covered Tool / Platform | PyTorch |
| Covered Tool / Platform | Keras |
| Covered Tool / Platform | Scikit-learn |
| Covered Tool / Platform | Jupyter Notebook |
| Covered Tool / Platform | Google Colab |
| Covered Tool / Platform | Hugging Face |
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