As a service provider we perform a lot of intake on new electronic discovery projects. We see the difference between legal teams who have thoroughly interviewed custodians and IT staff, and those who either have not, or if they have, they didn’t ask many questions about ESI in any quantified or documented way.
In this whitepaper you will learn 6 expert tips to remember for your next eDiscovery client interview.
By Tom Groom, Vice President, Discovery Engineering, D4
Keyword Search, Concept Based Search and Support Vector Machines are all three valid approaches for document classification but there are key differences that should be considered before deciding which and—perhaps more importantly, when—to employ these approaches in the eDiscovery workflow. The intent of this white paper is to highlight the differences in the features, functions and benefits of these three approaches and identify potential application areas where they best work in the eDiscovery lifecycle
By Tom Groom, Vice President Discovery Engineering, D4
The application of Predictive Coding can significantly reduce costs, dramatically reduce review time and increase quality for document review. Yes—cheaper, faster and better, all three. Computerized technology has greatly impacted the efficiencies of document review over the years.
By Peter Coons, Senior Vice President, Computer Forensics and Collections, D4
There can be a number of unforeseen and unexpected costs and hassles associated with bringing eDiscovery in-house that can quickly mitigate the savings and streamlining you hoped to achieve.
By Peter Coons, Senior Vice President, Computer Forensics and Collections, D4
Metadata! That term is used a lot in the eDiscovery world and many people use it but are unsure of its meaning. So what is metadata? Let’s look to a reliable eDiscovery resource for an answer.
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