Cambridge
Academy
In London

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 Outlines

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