4 Ways Filtering can Improve eDiscovery Results
Filtering is the process of limiting the data set based on specific criteria, such as keywords, names, dates, etc. Deduplication, deNISTing and other non-content-specific filtering techniques provide a first pass at shrinking the data set. Advanced filtering techniques – such as classification, near-duplicate detection, and email threading – take the process even further. But in order to maximize the value for the eDiscovery process, you want to ensure that your filtering capabilities include four key things.
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