Monthly Archives: January 2014

New Gibson Dunn Year-End Electronic Discovery and Information Law Update

Each year Gibson Dunn comes out with a compelling year-end electronic discovery and information law update.  Essentially the report looks at trends in the electronic discovery marketplace, case law and notable sanctions.  They boil down the volume of case law and compare those trends with historical averages.  Below are the readers digest version of the […]

Avoiding Non-Technical Pitfalls in Predictive Coding

Predictive coding is an immensely powerful tool for reducing the costs of review, bringing the parties to the merits of a case more quickly and efficiently — ultimately advancing the search for truth and the administration of justice. There are many pitfalls in a predictive coding project that are true regardless of the engine or the software […]

Is eDiscovery Adaptability Stagnant?

The guys over at the eDiscovery Journal (eDJ Group) are ringing in the New Year with a bit of a pessimism toward the overall trends in the eDiscovery marketplace.  In a blog article written by Barry Murphy “2014: Time to Take a More Realistic Look at the State of eDiscovery”, he cites a marked lack […]

HAYSTACKID to Sponsor John and Abigail Adams Benefit Saturday January 25th

HAYSTACKID is pleased to be sponsoring and more importantly participating in this year’s John & Abigail Adams benefit hosted by the Boston Bar Foundation January 25th, 2014 at the Museum of Fine Arts in Boston.  I encourage colleagues and friends to join us and check out this worthy cause.  Click here for more information.  Close […]

Why Should I Trust Predictive Coding?

Predictive coding, or categorization, is software that categorizes documents based upon the human review of a smaller sample of the documents.  It is a science that has arisen out of the need of the legal profession to cull irrelevant evidence from voluminous collections and find those needles in the haystack.  Now that people walk around […]