Information Governance (InfoGovernance) is the specification of decision rights and an accountability framework to encourage desirable behavior in the valuation, creation, storage, use, archiving and deletion of information. It includes the processes, roles, standards and metrics that ensure the effective and efficient use of information to enable an organization to achieve its goals. Information governance should be an element in planning an enterprise's information architecture.

(Gartner Hype Cycle for Legal and Regulatory Information Governance, 2009, December 2009).

An Engagement Area (EA) is an area where the commander of a military force intends to contain and destroy an enemy force with the massed effects of all available weapons systems.

(FM 1-02, Operational Terms and Graphics, September 2004).

Tuesday, September 23, 2014

Why NOT Use PC-TAR?

By Greg Buckles
Extract:  So here are my Top Ten Reasons Why NOT [To Use] PC-TAR:
  1. Perception that PC-TAR costs front load the discovery cost for matters that WILL settle before trial.
  2. High resistance to analytic upcharges. Have to justify them on every matter, so go with path of least resistance.
  3. Complexity of systems and fear that counsel will not be able to defend what they do not understand.
  4. Customers on information overload. Marketing fatigue and growing customer indifference.
  5. Perception that PC-TAR reinforces known relevant selection and misses unknown/new documents.
  6. Rumors of SEC/DOJ in some areas fighting PC-TAR proposals.
  7. Realization that 95-99% recall in PC-TAR training will result in 300-500% production size. Exposure of large volumes of non-relevant ESI a serious concern for companies facing serial plaintiffs that are on fishing expeditions.
  8. Mature corporate customers already cull and optimize during collection or processing. If they can achieve substantial savings prioritizing/clustering review sets, why pay for actual PC-TAR analytics?
  9. Counsel does not want to operate PC-TAR systems. Wants Litsupport or provider to run it.
  10. PC-TAR takes money from the firm. Takes away associate jobs.
Do I believe that most of these market perceptions are true. No, I do not. However, they all contribute to the slow adoption rates for actual use of machine learning technology in traditional discovery review for production.
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