A Step-by-Step Approach Don’t waste another minute or another dollar on inefficient ediscovery. Download this guide to access a series of real-world best practices for getting ediscovery costs under control. You’ll learn how to create a comprehensive litigation...
The essence of ediscovery is twofold: managing data and extracting useful information that can then be used to tell a story. Learning how to accomplish these goals cost-effectively requires both a mindset and a skill set that have wide potential applications…
Responding to your discovery obligations is all about effectively and efficiently culling your data to separate the wheat (non-duplicative and non-privileged documents that are responsive to a discovery request) from the chaff (everything else). Earlier culling…
Traditional approaches to ediscovery have relied on broad collection, such as copying the entire contents of a mailbox or hard drive, followed by an extensive culling process to identify and extract potentially relevant electronically stored information (ESI). This approach…
Without rigorous preservation of discoverable data, there can be no ediscovery. What’s more, investing in your approach to data preservation can have a significant impact on not only potential spoliation sanctions, but also on many hidden costs of discovery…
A key to driving down the cost of ediscovery is to recognize that most preservation and discovery obligations are subject to negotiation — if you start early enough. Changes to the Federal Rules of Civil Procedure in late 2015 restored proportionality to its original importance…
Without a clear, strategic litigation readiness and response plan, you run more than the risk of scrambling in a panic to react to a threat. You risk losing evidence in that mad rush, resulting in monetary and evidentiary spoliation sanctions that can cripple…
The more data you have, the higher your ediscovery costs. Therefore, the first step to driving down the cost of ediscovery is simply reducing the amount of data you have to manage. Data reduction requires consideration of the entire lifecycle of data, beginning with a plan for…