Home Runs and Smoking Guns at Truist Park

Monday, July 20th, 2026 | 5:00 PM (First pitch at 7:15 PM)

AI-assisted review has become standard practice. The question is whether your AI is asking the right questions for your specific matter — and finding the smoking guns that matter most.

Join Relativity, Page One Inc., ACEDS Atlanta, and Women in eDiscovery for an evening at Truist Park as we explore Custom Analyses in aiR for Review. This feature lets you move beyond generic review questions and define exactly what aiR should look for, how it should decide, and what format the answer should take—across every document, image, and screenshot in your set. Outputs become structured metadata your team can search, filter, and act on immediately. That’s how you stop clearing the pile and start hitting home runs.

Key Takeaways:

• What Custom Analyses in aiR for Review is and how it differs from AI review
• How to define targeted, matter-specific questions that produce structured, actionable outputs
• How to specify output formats, set boundaries, and handle edge cases effectively
• Real-world applications across corporate investigations, employment, product liability, construction, and trade secret matters
• How custom analysis outputs integrate into review workflows as searchable, filterable metadata
• Best practices for building defensible, repeatable analyses at scale

Speakers:

• Andrew Milauskas | Chief Operating Officer | Page One Legal
• Craig Treese | Vice President of eDiscovery | Page One Legal
• Bryce Lew | Senior Product Manager | Relativity

*This event is invite-only with limited seating. Game tickets are included for all session attendees.