Introduction

AI is enhancing courtroom advocacy by providing litigation analytics, case predictions, and real-time legal assistance. This course focuses on courtroom-ready applications of AI.

Course Objectives

By the end of this course, participants will be able to:

• Learn AI tools for litigation analytics and case prediction.
• Explore AI’s role in jury analysis and legal strategy.
• Understand AI in evidence management and e-discovery .
• Evaluate ethical and judicial perspectives.

Target Audience

This course is designed for:

• Litigators
• Trial lawyers
• Legal clerks
• Judiciary support staff

Course Outline

Day 1: AI in Courtroom Advocacy

• The role of AI in modern litigation
• Tools: ROSS Intelligence, CaseText CoCounsel, Everlaw
• Case studies of AI in trials
• Judicial perspectives on AI in advocacy
• Discussion: Risks of AI in courtroom settings

Day 2: Litigation Analytics & Predictions

• Using AI for case outcome predictions
• Reviewing judge and jury behavior with AI
• Statistical trends from litigation data
• Demo: Litigation analytics platforms
• Workshop: Predict case outcomes with AI data

Day 3: Evidence Management & E-Discovery

• AI for handling massive case files
• Automating e-discovery with AI tools
• Identifying relevant documents quickly
• AI redaction for privacy protection
• Exercise: Conduct an AI-driven discovery search

Day 4: AI in Trial Preparation & Strategy

• AI for jury analysis and profiling
• Strategy simulations using AI scenarios
• Preparing cross-examination with AI insights
• Ethical concerns of profiling with AI
• Roleplay: AI-assisted courtroom preparation

Day 5: The Future of Litigation with AI

• Virtual courts and AI-assisted trials
• Challenges of admissibility of AI evidence
• Group presentations: AI trial support strategies
• Peer and instructor feedback Wrap-up & certification