Over the past few releases of Relativity, we’ve continued to improve our overall speed-to-review—that is, how quickly you can go from raw uncollected data to normalized searchable documents. We’ve made improvements to our end-to-end speed and workflow in the Relativity 9 series by adding capabilities and new data sources to our targeted collection functionality, making Relativity Processing faster and more resilient, and building out our NoSQL data store, Data Grid.
When we announced Relativity 9.3 to a crowd of more than 1,500 at Relativity Fest last fall, we wanted to show how all of these capabilities come together to provide a complete solution—giving you the ability to automatically target and upload custodian data and process it directly to Data Grid, where it’s searchable within minutes.
During testing, we saw exciting results, taking the EDRM’s 1.1 million-document data set from raw data to review in 1 hour and 27 minutes. However, rather than simply telling Relativity Fest attendees about the results, we wanted to show them what it looked like.
So, the night before the conference, all alone in the dark kCura office, I recorded a short video called, “Man vs. Discovery”—a race to see how quickly I could go from finding and collecting a small amount of data, about 113 MB, to getting it ready for review. With a time of 15 minutes, I think I got the best of Discovery.
Check out the below video to see the results, as well as what strange things I encountered late at night in the kCura office ...
We’ve already heard a lot in the field from customers, like CDS, who have shared stories of how a complete e-discovery system allows them to deliver better results for their customers, and we can’t wait to hear more.