RSSWhen E-Discovery Is Put to the Test
EDD Update, 05/13/08
E-discovery may be on a path toward its most searching scrutiny yet. In Disability Rights Council v. Washington Metropolitan Transit Authority, Judge John M. Facciola recommended "concept searching" -- the use of complex algorithms that use linguistic or statistical patterning -- for a tardy producer to wade through voluminous data quickly.
EDD Update, 05/13/08
E-discovery may be on a path toward its most searching scrutiny yet. In Disability Rights Council v. Washington Metropolitan Transit Authority, Judge John M. Facciola recommended "concept searching" -- the use of complex algorithms that use linguistic or statistical patterning -- for a tardy producer to wade through voluminous data quickly.
ABA Litigation Section Reacts to the Qualcomm Case and Recommends e-Discovery Checklists
e-Discovery Team, 05/04/08
The Litigation Section of the American Bar Association has published an online article on Qualcomm v. Broadcom. Written by Kristine L. Roberts, Litigation News Associate Editor, the article is significant for its glimpse into the thinking of ABA leaders on electronic discovery abuses.
e-Discovery Team, 05/04/08
The Litigation Section of the American Bar Association has published an online article on Qualcomm v. Broadcom. Written by Kristine L. Roberts, Litigation News Associate Editor, the article is significant for its glimpse into the thinking of ABA leaders on electronic discovery abuses.
Data Mining Employee Email Contacts
Death by Email, 04/24/08
When you think about it, your contact list contains a tremendous amount of useful business information. If you need to find somebody at a certain company, don't you check both your contact list and your incoming emails for likely people to know? What about doing this on an enterprise-wide scale? What if the company needed to find a contact at a large prospect?
Death by Email, 04/24/08
When you think about it, your contact list contains a tremendous amount of useful business information. If you need to find somebody at a certain company, don't you check both your contact list and your incoming emails for likely people to know? What about doing this on an enterprise-wide scale? What if the company needed to find a contact at a large prospect?