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Data Science, Law, Information Governance and Data Asset Protection

Data science is beginning to transform information security, privacy, records management, defensible disposal, intellectual property and trade secrets protection programs, not just through rendering old programs and contracts inadequate, but by pointing to new, big data-driven information governance programs, data asset management programs and data license agreements. This is most obvious now in information security, where intrusion detection has been overlaid with exfiltration prevention based on high-velocity analytics, and in new attention to due diligence regarding data rights, but it is spreading quickly, and will change product liability before it is through. This presentation delivers a legal framework designed to enable data scientists to communicate with all of the areas of law that they are changing, as well as an update on big data-driven changes in all of the above areas of law.

About the Speaker:
Jon Neiditz leads the Big Data, Privacy and Information Security Practice at Kilpatrick Townsend, a leading information law firm. He provides practical, inexpensive ways to handle security breaches and privacy while protecting data assets and increasing trust. Follow @jonneiditz, read his Big Data Tech Law Blog, and/or connect at

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  • Angela R.

    Enjoyed the presentation. Will the slide deck be posted? Thanks-

    February 28, 2014

  • Colton G.

    Very interesting presentation

    1 · February 26, 2014

  • jon n.

    Thanks to everyone for coming. The question I to which I gave short shrift (didn't explain my answer) was the "Debbie does Dallas" question. To understand my answer that there's no liability for the ad serving, consider two real cases, the 1-800-Flowers case, where company sent the receipt for flowers the husband sent to his girlfriend to the wife in violation of its privacy policy, and the earlier Target case where the father finds out that his daughter is pregnant when he starts getting the Huggies ads. In the Flowers case there's liability, and in the Huggies case there isn't (not to minimize the serious negative PR/brand damage relating to ad serving), in both cases due to the privacy policy. Privacy policies now generally permit ad serving. Great to meet you all, and look forward to being in touch.

    2 · February 26, 2014

  • jon n.

    OK, how the community is -- and should be -- thinking about HIPAA, avoiding pitfalls in dealing with enriched data/monetization and how to sell security/data protection. All great topics now enriching the presentation!

    1 · February 25, 2014

  • A former member
    A former member

    How to "sell" security / data protection to executives who see it as a cost center, not a profit center.

    February 25, 2014

  • jon n.

    Great questions for discussion; PLEASE NOTE CHANGE OF FLOOR T0 27TH:

    You can just park in the building's parking garage (on the West side of Peachtree between 12th and 13th Sts. in Midtown). There'll be signs in the building lobby telling you to come up to the 27th floor. We're about equidistant from the Midtown and Arts Center MARTA stations.

    See you soon.

    February 25, 2014

  • Vamsi D.

    Jon - I'd be interested to get your perspective on ownership of enriched data and insights in the data monetization world. Any thoughts around how to avoid obvious pitfalls when partnering/engaging with owners/clients would be a plus. Thanks!

    2 · February 25, 2014

  • Dave K.

    I'll be interested to hear how the community is currently, and should be, thinking about HIPAA.

    1 · February 25, 2014

  • jon n.

    What are the data science legal issues you think are most important?

    February 13, 2014

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