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.

Objectives

- 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.

Audience

- Litigators

- Trial lawyers

- Legal clerks

- Judiciary support staff

5-Day 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