Course Description
Introduction
AI-powered legal research tools are reshaping how lawyers and legal professionals find case precedents, analyze judgments, and prepare briefs. This course provides practical training in using AI for efficient and accurate legal research.
Objectives
- Learn to use AI for legal research and precedent discovery.
- Understand natural language processing (NLP) in legal document analysis.
- Apply AI tools to draft legal briefs and memos.
- Explore limitations and risks of AI-driven legal research.
Audience
- Lawyers and legal associates
- Legal researchers
- Paralegals
- Law students
5-Day Outline
Day 1: AI in Legal Research
- Introduction to AI in law and legal technology trends
- AI vs. traditional legal research methods
- Tools overview: Lexis+, Westlaw Edge, CaseText, Harvey AI
- Benefits and risks of AI in legal research
- Group discussion: How AI could change daily legal practice
Day 2: NLP and Legal Document Analysis
- Basics of natural language processing (NLP) in law
- AI for reading and summarizing judgments
- Extracting clauses and key legal points with AI
- Demo: AI-assisted case brief preparation
- Workshop: Hands-on with AI legal search tools
Day 3: AI in Drafting Legal Documents
- AI-assisted drafting of contracts, pleadings, and memos
- Comparing AI output with traditional drafting
- Risk of 'hallucinations' in legal AI tools
- Ensuring accuracy and compliance in AI-generated text
- Exercise: Draft a short legal memo with AI assistance
Day 4: Case Prediction & Litigation Analytics
- Using AI to predict case outcomes
- Tools for litigation analytics (e.g., Premonition, Gavelytics)
- Interpreting probability-based legal predictions
- Ethical concerns in predictive justice
- Simulation: Analyze case data with AI predictions
Day 5: Future of AI in Legal Research
- Legal tech startups and innovations
- Integration of AI into law firm workflows
- Skills lawyers need in the AI age
- Group project: Present an AI-based legal research solution
- Wrap-up & certification