CDS is proud to be an sapphire sponsor at Relativity Fest Chicago 2026, taking place September 29–October 1 at the Hyatt Regency Chicago, where more than 2,000 members of the legal data community will gather to connect, learn, and innovate.
From keynote insights and breakout sessions to hands-on experiences in the Community Pavilion, Relativity Fest brings together the ideas, technology, and conversations shaping the future of legal tech.
Visit CDS at 14 and be sure to swipe your badge for the chance to win a pair of Meta glasses!
Register today to reserve your spot.
Where to Find CDS at Fest
Session: Build a Relativity Training Program That Scales: An RCT-Inspired Playbook for Customer Enablement
- Date: Wednesday, September 30
- Time: 2:15 – 3:00 p.m. CT
- Location: Grand Hall GH
- Featuring: Michelle Broxman, Senior Consultant
- Description: If your Relativity training depends on one or two experts, growth becomes painful: inconsistent onboarding, repetitive support questions, and uneven feature adoption. This session shares an RCT-inspired playbook for creating a scalable training program – one that turns expert knowledge into repeatable instruction. We’ll show how to (1) define your organization’s Relativity roles and workflows, (2) align them to a competency model inspired by the RCT framework, and (3) create modular training assets that can be delivered by multiple trainers. You’ll learn how to build a blended approach – short tutorials, task-based labs, scenario simulations, office hours, and knowledge checks – while keeping content current through periodic review and release-aligned updates. We’ll also cover practical measurement: what to track, how to prove impact, and how to use insights from support trends and user feedback to refine the curriculum.
Session: How to Choose the Right AI Tool for the Job in Litigation Workflows
- Date: Wednesday, September 30
- Time: 2:15 – 3:15 p.m. CT
- Location: Regency D
- Featuring: William Wallace Belt, Esq, Managing Director, Advisory
- Description: If your Relativity training depends on one or two experts, growth becomes painful: inconsistent onboarding, repetitive support questions, and uneven feature adoption. This session shares an RCT-inspired playbook for creating a scalable training program – one that turns expert knowledge into repeatable instruction. We’ll show how to (1) define your organization’s Relativity roles and workflows, (2) align them to a competency model inspired by the RCT framework, and (3) create modular training assets that can be delivered by multiple trainers. You’ll learn how to build a blended approach – short tutorials, task-based labs, scenario simulations, office hours, and knowledge checks – while keeping content current through periodic review and release-aligned updates. We’ll also cover practical measurement: what to track, how to prove impact, and how to use insights from support trends and user feedback to refine the curriculum.
Relativity Tech Talk: The Documents Know: How aiR Assist and Custom Analyses Reveal What Traditional Search Misses
- Date: Thursday, October 1
- Time: 12:55 – 1:25 p.m. CT
- Location: Spotlight Stage, Community Pavilion (Riverside Expo Hall)
- Featuring: Michelle Broxman, Senior Consultant and Nicole Guyer, Client Solutions Director
- Description: The answer is often already in the documents. The challenge is knowing how to ask for it.Consider the question: “What sushi restaurants are around here?” A hotel guest wants a recommendation. A restaurant supplier wants a complete directory. Same question, completely different objective. Review teams face similar challenges every day. Sometimes they need a fast, contextual answer; other times they need to systematically identify and extract information across an entire document population.In this session, CDS consultants Nicole Guyer and Michelle Broxman will demonstrate how Relativity aiR Assist and Custom Analyses address these distinct needs within RelativityOne. Through practical examples, workflow demonstrations, and lessons learned from real client matters, attendees will learn when conversational search is the right tool, when AI-powered extraction is more effective, and how combining both capabilities can help solve complex review challenges that traditional search workflows often miss.