How an AmLaw 50 Firm Mastered
Chat-Heavy eDiscovery
Handling Slack, Google Workspace, and cloud archives doesn’t have to slow you down. See how Venio helped an AmLaw 50 firm meet tight deadlines while maintaining accuracy and defensibility.
Venio's Impact
from collection to reviewable
data
in review volume before first eyes-on
consecutive weeks of on-time productions with zero rejections
privilege misses through targeted QC
About the Firm
An AmLaw 50 firm defending a major tech client in a fast-moving antitrust matter faced rolling collections from Slack, Google Workspace, and other cloud archives. The firm needed a solution that could keep up with weekly production deadlines, maintain counsel’s review strategy, and ensure defensible, high-quality outputs.
The Challenges
The firm was managing complex collaboration data while operating under tight, recurring production cycles. Slack threads, edited messages, attachments, and reactions all needed to be normalized and reviewed efficiently, without slowing counsel or compromising accuracy.
- Recurring Production Cycles: Frequent weekly deadlines and evolving ESI specifications created constant pressure on the workflow.
- Complex Collaboration Data: Chat messages with threads, edits, and reactions required normalized rendering for accurate review.
- High Visibility Needs: Counsel needed live dashboards to monitor responsiveness, privilege, and issue-tag burn-down in real time.
The Result
- ≤ 8 Hours from collection to reviewable data
- ~40% reduction in review volume before first eyes-on
- 12 consecutive weeks of on-time productions with zero rejections
- ~60% fewer privilege misses through targeted QC
Why It Worked
Venio’s purpose-built chat processing, versioned production “recipes,” and continuous QA made it possible to meet aggressive weekly deadlines without sacrificing accuracy or defensibility.
Related Stories
- By Neetu Srivastava
⚡ Year-End Offer: Lock 2026 Pricing Now Book a Demo × Products...
- By Neetu Srivastava
⚡ Year-End Offer: Lock 2026 Pricing Now Book a Demo × ...
