📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of AI Ethics, Legal Considerations, and Contract Analysis, from foundations to a certified capstone project.
Outline
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
Outline
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
Outline
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
Outline
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
Outline
Chapter 5.1: Selecting and Vetting Legal AI Vendors RFPs, vendor risk assessment, security protocols • Comparative analysis: Kira Systems, Luminance, Law Geex, Relativity
Earn government-registered certification in AI Ethics, Legal Considerations, and Contract Analysis
e-Certificate and e-Marksheet issued on successful completion.
