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Technology-Assisted Review: Use It or Lose It?
The primary benefit of TAR is to prioritize documents within a corpus by likelihood of relevance as early as possible in the eDiscovery lifecycle.
LIVE from LegalTech NY 2013
LIVE from LegalTech NY 2013 is a compilation of blogs and insights from D4′s Engineers that attended the conference. They recapped the sessions that they thought were outstanding or just plain interesting and put them all in one place for you to enjoy.
Predictive Coding/Technology Assisted Review FAQ
Is there a difference between “Predictive Coding” and “Technology Assisted Review”?
When does it make sense to use PC/TAR?
What are the risks in using PC/TAR?
Is it defensible?
Read the answers to these and over 10 more Frequently Asked Questions here.
How To Conduct an Efficient eDiscovery Interview
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.
Three Methods for eDiscovery Document Prioritization
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
Applying Predictive Coding to Reduce Costs and Increase Quality in Document Review
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.
Top 4 from D4 – 2012 eDiscovery Predictions
Will the New Rules ever feel like old news? Will predictive coding face legal or scientific challenge? Will social media become just another source of ESI? Will we ever find the holy grail of litigation support? Check out the D4 Brain Trust Predictions for 2012. Take a look, mix it up, leave a comment, a kudo, or a prediction of your own.
10 Critical Things to Consider Before You Bring eDiscovery In-House
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.
eDiscovery & Metadata: What’s In a Date?
What am I talking about? Metadata. Specifically file dates and times. Is metadata important in discovery? Does it actually tell us anything about the file or document? I will let you be the judge and jury.
But first, what is metadata?
