© 2014, TERIS, www.TERIS.com Applying Analytics: Effective & Efficient Data Management in Litigation and Beyond.

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Presentation transcript:

© 2014, TERIS, Applying Analytics: Effective & Efficient Data Management in Litigation and Beyond

© 2014, TERIS, PanelistsPanelists Jill Bindler Associate McKool Smith John Hartman Principal TERIS Dean Kuhlmann VP, Business Development Brainspace Corporation

© 2014, TERIS, Data: by the numbers  Data volumes in the world double every months. The same is true for individual organizations.  Around 80% of an organization’s data is electronic communications and user-generated files.  It’s estimated that approximately 50-70% of an organization’s data is ROT (Redundant Outdated Trivial).  Only 28% of organizations are attempting to proactively manage their data. Only 10% report being effective. “Knowingly or not, organizations face a fundamental choice: They can control their information, or by default, they can allow their information to control them.” -- Sedona Conference Commentary on Information Governance

© 2014, TERIS, Discovery Analytics: 3 buckets  Structured Analytics  Grouping and sorting based on text similarity and organization  Examples: threading, near-duplicate identification  Concept Analytics  Find the meaning of content within the specific dataset  Examples: concept clustering & searching, keyword expansion  Predictive Analytics  Human review of small subset is used to train the system to statistically “predict” how to properly code the entire data set

© 2014, TERIS, What’s my ROI?  Reduction of eDiscovery and legal costs  Cost per GB of data in discovery is ~$20,000. $16-18K is attorney review  Reducing the volume potentially reduces what needs to be preserved/collected/reviewed/produced. Reduced potential for errors (and by extension, sanctionable conduct)  Reduction of regulatory compliance risks  Increased access to relevant data can reduce compliance risks associated with improper handling of inquiries & investigations  Reduction of hard IT costs  $4,000,000 – approx. annual cost to store 1PB of enterprise data

© 2014, TERIS, TakeawaysTakeaways  Get in the game  If you and your firm/Corporation is not already utilizing the many analytical tools available to you, you are behind.  This wave of technology is already 3rd Generation, has proven success in defensibility and cost savings- not bleeding edge.  Test everything  Setup a formal software evaluation and commit the time necessary to see it through before purchasing & before going into production  Commit to staying current.  Investigate technology development roadmaps, therefore you know what advances will be available and that your investment is not being mothballed.  Dig deep on core Technology  There is a lot of technology out there that provides minimal advancement.  Seek out technology that has reach beyond your next discovery deadline.  Control your data- don’t allow your data to control you!