Modern data now spans a sprawling ecosystem of email, chat, collaboration platforms, cloud storage, mobile apps, and AI-generated content, with each source adding unique complexity. In turn, data collection is becoming more challenging and costs are expected to rise exponentially as enterprises generate more data in more formats, accompanied by AI artifacts, linked files, and dynamic content that defy traditional eDiscovery workflows. Legal teams need new frameworks to manage this complexity and stay ahead in litigation. 

This session brings together eDiscovery and litigation experts to examine the characteristics of modern data and how updated collection strategies can help reduce costs, increase efficiency, and strengthen litigation readiness. Discussion topics include:  

• Decoding modern data diversity—from AI-created artifacts and Copilot outputs to hyperlinks, chat logs, and cloud collaboration data. 
• Navigating data collection challenges—managing scale, speed, rising costs, and the unique risks of emerging data formats. 
• Improving identification of critical custodians and data sources across sprawling enterprise ecosystems. 
• Building defensible collection and preservation strategies that account for dynamic, shifting, and nontraditional data formats. 
• Looking ahead to what comes next—preparing for emerging data modalities like generative AI content, AI-enhanced attachments, and hyperconnected document ecosystems. 

Attendees will leave with a forward-looking playbook for managing the data explosion, helping teams control costs, mitigate risks, and maintain strategic advantage in the evolving world of litigation.