EMC Turns a Legal Eye on Compliance

When legal eagles ask for specific documents, corporations need to retrieve those files in a fast fashion, thanks to litigation retention requirements.

Seeking to address the pain points associated with respond for legal requests for information, EMC has unveiled a bundle of storage hardware, content management software and services to help businesses pinpoint electronic files.

The bundle approach is a departure for EMC, a company traditionally known for offering so-called best-of-breed point solutions. It is a signal of a direction the information systems vendor is becoming more of a complete systems vendor to compete with the likes of IBM and HP.

EMC’s e-discovery solution is designed to help enterprises produce information in the event they are slapped with subpoenas or civil lawsuits that seek information about employees or transactions, said Andrew Cohen, EMC senior counsel and director of global solutions practice for compliance.

As an attorney with experience in the electronic discovery process, Cohen said businesses have to manually cull tape drives or hard disk drives to find the data, collect it, preserve it and produce it when called upon.

Moreover, the correct data required for a specific case has to be found so that the rest of the company’s files are not paralyzed, known in legal parlance as litigation hold.

“You end up not being able to handle that in house, and it gets thrown over the wall to an outside counsel,” Cohen explained. “Once you throw it over the wall, they charge you a tremendous amount of money by the hour to review that information.”

For this time and effort, it is not uncommon for businesses to spend $1 million or more to find records and other relevant information for a single case, he said.

This article was first published on InternetNews.com. To read the full article, click here.

RELATED NEWS AND ANALYSIS

• Huawei’s AI Update: Things Are Moving Faster Than We Think

  FEATURE |  By Rob Enderle,
  December 04, 2020

• Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era

  ARTIFICIAL INTELLIGENCE |  By Guest Author,
  November 18, 2020

• Key Trends in Chatbots and RPA

  FEATURE |  By Guest Author,
  November 10, 2020

• Top 10 AIOps Companies

  FEATURE |  By Samuel Greengard,
  November 05, 2020

• What is Text Analysis?

  ARTIFICIAL INTELLIGENCE |  By Guest Author,
  November 02, 2020

• How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI

  ARTIFICIAL INTELLIGENCE |  By Rob Enderle,
  October 29, 2020

• Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics

  ARTIFICIAL INTELLIGENCE |  By Rob Enderle,
  October 23, 2020

• The Super Moderator, or How IBM Project Debater Could Save Social Media

  FEATURE |  By Rob Enderle,
  October 16, 2020

• Top 10 Chatbot Platforms

  FEATURE |  By Cynthia Harvey,
  October 07, 2020

• Finding a Career Path in AI

  ARTIFICIAL INTELLIGENCE |  By Guest Author,
  October 05, 2020

• CIOs Discuss the Promise of AI and Data Science

  FEATURE |  By Guest Author,
  September 25, 2020

• Microsoft Is Building An AI Product That Could Predict The Future

  FEATURE |  By Rob Enderle,
  September 25, 2020

• Top 10 Machine Learning Companies 2020

  FEATURE |  By Cynthia Harvey,
  September 22, 2020

• NVIDIA and ARM: Massively Changing The AI Landscape

  ARTIFICIAL INTELLIGENCE |  By Rob Enderle,
  September 18, 2020

• Continuous Intelligence: Expert Discussion [Video and Podcast]

  ARTIFICIAL INTELLIGENCE |  By James Maguire,
  September 14, 2020

• Artificial Intelligence: Governance and Ethics [Video]

  ARTIFICIAL INTELLIGENCE |  By James Maguire,
  September 13, 2020

• IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI

  FEATURE |  By Rob Enderle,
  September 11, 2020

• Artificial Intelligence: Perception vs. Reality

  FEATURE |  By James Maguire,
  September 09, 2020

• Anticipating The Coming Wave Of AI Enhanced PCs

  FEATURE |  By Rob Enderle,
  September 05, 2020

• The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort

  ARTIFICIAL INTELLIGENCE |  By Rob Enderle,
  August 14, 2020