Can I afford defensible deletion?

December 6, 2012

http://tinyurl.com/amuzfka

Is it hard to justify ROI for defensible deletion?

here is a tip – try and calculate how much money was spent last year processing and reprocessing useless data for eDiscovery purposes, rejecting it time after time, at considerable expense. There’s a big chunk of ROI there.


Scared of eDiscovery?

November 11, 2012

Are you scared of eDiscovery?  You are not alone.

eDSG ran a one day poll asking “What’s So Scary about eDiscovery”.  756 Respondents provided the following results:

  • The Cost = 32.25%
  • All the New Technology = 17.5%
  • Giving up Control to Outside Counsel = 11.75%
  • Giving up Control to Third Party Vendors = 11.75%
  • Lack of Internal Support for IT = 9%
  • Lack of Technology   = 9%
  • Other Reason = 9%

Other Reasons Listed included:

  • Having to deal with Lawyers = 15 responses
  • Having to deal with eDiscovery Sales People = 35 responses
  • Self Collection = 18 responses

Summarization of eDisovery’s hottest trend of 2012

September 17, 2012

Excellent summary of Predictive Review status in 2012

http://tinyurl.com/8qrryjp


Do Lawyers like (or not) TAR?

August 12, 2012

http://tinyurl.com/8r54dgw

Is this really true?  I would like to believe that lawyers have their client’s interest as their highest priority.

 

 


Google docs ready for ediscovery

July 15, 2012

Are you using google apps for your business? Have you considered ediscovery implications ?

Is google apps ready for ediscovery?

http://tinyurl.com/csxhrq8


Social Media and eDiscovery

July 12, 2012

With growth in usage of social media, enterprises have sprung up to address eDiscovery needs –

Check out some of the companies attempting to address this need.   http://tinyurl.com/7cfrz2g


Oracle Information Discovery Channel on YouTube

May 14, 2012

Oracle has a YouTube channel dedicated to their information discovery product.

Check it out http://tinyurl.com/7473d6u


Is EDRM a precursor to BDRM (Big Data Reference Model)

April 26, 2012

To effectively provide any kind of application on top of Big Data, the underpinnings of information management, analysis and targeted collection are a must.  There are also three prerequisites as well: it has to be fast, precise and adapt automatically to change.  Without these capabilities, the output is useless, based on, at best, latent information and, at worst, outdated or useless information.

http://goo.gl/BpLbg


Use of Machine Learning in e-discovery ordered by Judge in Virginia

April 25, 2012

A Virginia trial court has ordered the use of machine learning for e-discovery over the objection of the requesting party.

http://goo.gl/4KXVo


Tip of the Big Data Iceberg – Better Information Governance?

April 15, 2012

Should we spend time/resources on Information Governance?

Until your organization can understand large data pools well enough to extract and collect relevant subsets for both reactive and proactive eDiscovery, Information Governance is the single biggest cost reduction exercise any enterprise can focus on.

http://goo.gl/DsuaC