Extract from Brad Harris’s article “Want to Save Over 50 Percent on Slack Ediscovery? Only Collect Data Once”
Ediscovery is an unforgiving pursuit. Err on the side of collecting too little data, and you may find that you don’t have the helpful evidence you need (or that your opponent is rightfully demanding). On the other hand, if you err the other way by collecting too much data, you’ll soon realize that you’re paying to process and host volumes of unnecessary and unhelpful data.
What you need is the Goldilocks amount of data—the right amount to prove your claim or defend against your opponent’s without any wasteful overspending. For traditional data sources like email, ediscovery vendors have helped to address this conundrum by creating deduplication technology. But how do you apply that concept to Slack data?
Here’s how Hanzo uses a “collect once, use many” approach to avoid costly overcollection of Slack data.
