Download this free case study that describes searching and sampling highly nonresponsive data
There is no one-size- fits-all solution to eDiscovery. In this case, traditional sampling methods weren’t initially yielding the desired results because the data had a low ratio of responsive documents, challenging all ‘normal’ eDiscovery search protocols.
What happens when standard sampling methods aren’t sufficient? Are there other options? Yes, and this case study will give you an overview on how adapting sampling methods—and sometimes using more than one—can be effective even in highly non-relevant document populations.
The case study offers more information on:
- How Smart Sampling proposes key terms and safeguards against inadvertent production of privileged documents.
- Why predictive ranking makes data decisions and review more efficient.
- Which reverse search strategies help find nonresponsive data.
Overcoming eDiscovery challenges often requires outside-of- the-box thinking. This case will show how our unique approach took the initial data size down from 5.1 million documents to 353,768 reviewable documents, a 93% reduction.