Reduce eDiscovery Waste
The cheapest gigabyte is the one you never review.
Most discovery spend is locked in long before review begins — in how data is collected, understood, and culled. GURU's hub-based ECA attacks waste at the source.
Where the waste hides
Volume you never needed, reviewed anyway.
When data moves straight into a review platform without early analysis, you pay to host, process, and review documents that were never relevant. The cost compounds at every stage — and the largest line item, human review, sits at the very end.
Over-collection
Casting too wide a net pulls in custodians and sources you'll never use.
Blind search terms
Untested terms balloon the dataset and the review hours that follow.
Late culling
Culling after data is in review means you've already paid to host and process it.
What GURU does differently
- Runs analytics in a hub before Relativity
- Surfaces the shape and risk of the data on day one
- Tests and refines search terms against real data
- Moves only a leaner, defensible set into review
- Disposes responsibly when the matter closes
The hub advantage
Understand the data faster. Refine before it costs you.
GURU's pre-Relativity analytics let you see and shape the dataset before review spend begins. Search-term refinement happens against the actual data — so by the time documents reach Relativity, you're reviewing a smaller, sharper, more defensible set.
See the full toolkit →AI-powered
AI does the heavy lifting.
Relevance ranking and early case insight cut 50–90% of documents before review — the single biggest lever for reducing eDiscovery cost.
Find the waste in your next matter.
Send us the shape of your data. We'll show you where GURU's hub would cut volume, hours, and spend.