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 concise, self-paced program provides a comprehensive introduction to AI and ChatGPT, specifically tailored for legal research and document review. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This concise, self-paced program provides a comprehensive introduction to AI and ChatGPT, specifically tailored for legal research and document review.
📋 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
Legal Research Fundamentals With AI
• Authority hierarchy and why a model has no concept of binding precedent
• Framing a research question for retrieval rather than generation
• Jurisdiction, currency and the risk of superseded authority
Grounded Search Over Legal Sources
• Retrieval-augmented workflows over statutes, judgments and commentary
• Citation verification as a mandatory step, not an optional one
• Documented cases of fabricated citations and the sanctions that followed
Summarisation and Case Analysis
• Summarising judgments while preserving ratio and material facts
• Comparing authorities and identifying distinguishing features
• Prompting patterns that reduce, though never eliminate, confabulation
Research Memoranda
• Structuring a memorandum from AI-assisted research
• Separating verified authority from model-generated reasoning
• Recording the research trail for supervision and audit
Confidentiality and Professional Responsibility
• Client confidentiality when using third-party model services
• Competence obligations and disclosure to clients and courts
• Firm policy for permitted and prohibited uses
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 |
Frequently Asked Questions
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