Industry Insights

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?

Metadata, Metadata, it’s Everywhere!

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.

Part III: Reviewing Electronically Stored Information (ESI) from Social Networking Sites (SNS)

In the first two parts of this series on SNS and eDiscovery we discussed the Why, What and How. The third part will address the “OK, we identified and collected it, now what?” part…..Social Networking Sites (SNS) data is just like any other ESI.

Part II: Preserving Electronically Stored Information (ESI) on Social Networking Sites (SNS)

Now that we know SNS information is potentially discoverable and where to find it, how do we go about preserving it? No matter what method you choose for persevering SNS info, remember these 8 key tips…

Part I: Court Opinion On Social Networking Sites(SNS) Discoverability

Pipl.com is another great (scary) site. Great because it provides a one-stop shop for searching SNS info about a person, in addition to other personal information….I went to pipl.com and typed in my name and current city. It returned the name of my Dad, brother, my age, middle name, the fact that I used to live in Miami, Larchmont and New York City. Understand the scary part now?

Computer Forensics & eDiscovery for the iPad

By Peter Coons, Senior Vice President, Computer Forensics and Collections, D4 LLC

In January of 2011, there were roughly 60,000 apps available for the iPad on iTunes. Even though it’s not technically a computer, Apple’s latest sales figures show that it has captured about 7% of what used to be the global “PC” market.

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