The modern art of ediscovery data filtering

Up to 98% of data collected in response to an ediscovery request turns out to be non-responsive. The attorneys who know how to filter strategically before review begins control the scope, the timeline, and the cost of any matter. Those who don't end up reviewing mountains of irrelevant data at full price.

This guide covers the filtering and culling techniques that make the difference — from early case assessment and deduplication to keyword strategies, hash values, and predictive coding — along with the defensibility standards you need to document your work.

5 things you'll learn:

1. Why eDiscovery data filtering is a legal obligation, not just a cost-saving move — and what Rule 26(g) requires of the attorney signing off
2. How to use early case assessment, deNISTing, deduplication, and email threading to cut your document set before review begins
3. How to build a defensible filtering strategy using date ranges, file types, custodians, and keyword searches
4. What hash values are, why they matter for chain of custody, and how they underpin most filtering technology
5. When to consider predictive coding and technology-assisted review for high-volume matters

What's inside:

• A technical overview of the full data filtering and culling workflow, from raw ESI to production-ready sets
• Filtering strategy frameworks for both producing and requesting parties
• Guidance on validating processed data and maintaining a defensible chain of custody
• A diagram of the complete technical filtering process — deNIST, dedup, date range, domain, file type, custodian, and email threading

Download the guide and go into your next matter with a smarter, leaner approach to data.