Overview

Litigation runs on documents at a volume most legal work never sees. This practical, jargon-free course shows litigation and dispute teams how AI supports disclosure and e-discovery, evidence review, chronology building, quantum analysis and hearing preparation, and gives a concrete verification method for anything AI-assisted before it reaches a filing or a court. Four short units.

Target Audience

Litigators, disputes teams and the paralegals and support staff who work alongside them.

Learning Objectives

Upon completion, learners will gain a full and clear understanding of:

• How disclosure and e-discovery work at real litigation volume, and where technology-assisted review fits
• The real mechanics of technology-assisted review, and where a human reviewer must still look
• How to build a chronology, spot inconsistencies and handle witness material with appropriate care
• How to use AI to support quantum analysis and hearing preparation without it substituting for advocacy judgement
• A concrete, procedural verification method to apply to anything AI-assisted before it goes near a filing or a court
• What courts and opposing counsel now generally expect regarding AI use in litigation

Features and Benefits

• Written for complete beginners: practical, jargon-free and easy to follow.
• Current and fact-checked: researched against up-to-date 2026 sources, including the latest tools and regulation.
• Four short, focused units with gated progression; each unit unlocks once the previous one is passed.
• Light, formative interactions running through every unit (click-to-reveal, quick knowledge checks and estimate-and-reveal sliders), never scored.
• An end-of-unit quiz that finishes with a marking screen showing which answers were right or wrong, with a short explanation for each.
• Easy retakes: a failed quiz drops the learner straight back into freshly shuffled questions, with no need to click through the unit again.
• Optional audio narration on every screen (the learner chooses to listen), plus narrated motion-graphic video introductions, with captions throughout for accessibility.
• Responsive layout, suitable for PC, tablet and mobile.
• SCORM 1.2 conformant (single SCO); reports completion and an averaged score to any compliant LMS.

Course Contents

Unit 1: Disclosure and E-Discovery at Scale

• Why disclosure at real litigation volume is a different problem, and the true cost of manual review
• Technology-assisted review (TAR), named and explained as an established, cross-jurisdictional technique
• How a TAR process actually runs, from a training sample to a validated result
• Where AI helps fastest, where a human reviewer must still look, and what makes a review defensible

Unit 2: Evidence, Documents and Chronology

• Document review beyond the disclosure exercise, summarising and issue-tagging at speed
• Building a chronology or timeline with AI assistance, and what a good entry needs
• Spotting inconsistencies across a large document set
• Handling witness material carefully, and where AI must never go near a witness's own words

Unit 3: Quantum, Analysis and Hearing Preparation

• Where AI helps with quantum and damages analysis, and where the expert and lawyer stay in charge
• Preparing bundles and materials for a hearing at real litigation scale
• Using AI to support hearing preparation without it substituting for advocacy judgement
• Why command of your own case can never be outsourced to a tool

Unit 4: Verification Discipline and What Courts Expect

• Why a fabricated citation in a filing is different in kind from an internal drafting error
• A concrete, procedural verification method for anything AI-assisted before it goes near a filing
• A real, dated sanctions case showing exactly what happens when verification fails
• What courts and opposing counsel now generally expect regarding AI use, and a closing checklist