Tobin Dietrich, Discovery Solutions Consultant, Discovia, to Speak at KC’s Merger Investigations: The Benefits of Technology-Assisted Document Review in 2016 Live Webcast
New York, NY, September 30, 2015 --(PR.com)-- The Knowledge Group/The Knowledge Congress Live Webcast Series, the leading producer of regulatory focused webcasts, has announced today that Tobin Dietrich, Discovery Solutions Consultant, Discovia, will speak at the Knowledge Group’s webcast entitled: “Merger Investigations: The Benefits of Technology-Assisted Document Review in 2016 Live Webcast.” This event is scheduled for April 25, 2016 from 12:00 pm to 2:00 pm ET.
For further details, please visit:
https://theknowledgegroup.org/event-homepage/?event_id=1128
About Tobin Dietrich
With a background in computer science that includes database design and interface programming, Tobin brings a unique mastery of both the technical and legal aspects of eDiscovery. After receiving his undergraduate degree in computer science, he began his career in public policy which led him to pursue a law degree. In 2008, he focused his career on e-discovery, overseeing dozens of projects for AmLaw 100 law firms, including a 9-month engagement leading a specialized search and analysis team for one of the largest global manufacturers of consumer electronics in a patent dispute. He developed expertise in managing e-discovery and document review workflows and was an early adopter of predictive coding technologies. He has successfully guided numerous clients through the predictive coding process, coaching them through a variety of workflows to achieve the best results for their projects. Tobin holds the Equivio Technical STAR certification and has led CLEs and seminars on predictive coding use cases and best practices. Tobin is a member of the California and District of Columbia Bar Associations.
About Discovia
Discovia provides electronic discovery services to corporations and law firms engaged in litigation, ITC investigations, and internal and regulatory investigations, including HSR Second Requests. Services include onsite and remote data collections, data minimization, data processing and hosting, expert application of leading technology-assisted review tools, document review management, and document productions. Discovia is one of the only eDiscovery services providers to achieve ISO 27001 certification and HIPAA/HITECH compliance for data security according to third-party auditors. Discovia is the first to publish its accuracy rate – 99.7 percent, and typically achieves data culling rates of 95 percent for repeat clients. Discovia is the first eDiscovery services firm to deliver a fixed-price managed services solution, enabling corporate legal departments and law firms to gain a world-class eDiscovery function with complete cost predictability. More information is available at 415-392-2900 or www.discovia.com
Event Synopsis:
Technology Assisted Review (TAR) is a relatively new form of investigative litigation in which a subset of documents are reviewed by attorneys and marked for relevance. Then, specialized software is used to apply the review decisions from the subset of documents to all remaining unreviewed documents. In supervised learning TAR (SLTAR), a type of predictive coding, the software simply identifies similar documents coded as ‘relevant’. In active learning TAR (ALTAR), also predictive, a subset of documents is chosen by attorneys and the computer returns samples of potential relevance. Finally, in knowledge engineering TAR (KETAR), software attempts to replicate how an attorney thinks about complex problems and then creates a statistically generated ‘decision tree’ using artificial intelligence algorithms to determine relevance.
According to a representative of the US DOJ Antitrust Division, they expect that use of TAR in merger and acquisition litigation will increase. Recent research has shown that TAR produces results that are at least comparable to manual review, with ALTAR and KETAR demonstrating 10 percent greater accuracy. However, such predictive coding used to determine relevancy is only as good as the algorithms used and the ability of initial reviewers. Worryingly for the scientifically minded, there is limited robust statistical data on effectiveness, accuracy, and precision.
The Knowledge Group has assembled a panel of key thought leaders to provide the audience with an in-depth review and discussion of Technology-Assisted Document Review (TAR) in Merger Investigations. Speakers will explain the benefits of adopting TAR and its implications for merging parties. The panel also will provide the audience with best practices to avoid common pitfalls and risks in using TAR for merger investigations.
Key topics include:
- Merger Investigations – An Overview
- Technology-Assisted Document Review (TAR)
- TAR in Merger Litigation – Benefits and Implications
- Risks and Pitfalls of using TAR
- Traditional Review vs. TAR
- TAR Requirements, Costs, and Complications
- Statistical Robustness
- Regulatory Updates
About The Knowledge Group/The Knowledge Congress Live Webcast Series
The Knowledge Group was established with the mission to produce unbiased, objective, and educational live webinars that examine industry trends and regulatory changes from a variety of different perspectives. The goal is to deliver a unique multilevel analysis of an important issue affecting business in a highly focused format. To contact or register for an event, please visit: http://theknowledgegroup.org/
For further details, please visit:
https://theknowledgegroup.org/event-homepage/?event_id=1128
About Tobin Dietrich
With a background in computer science that includes database design and interface programming, Tobin brings a unique mastery of both the technical and legal aspects of eDiscovery. After receiving his undergraduate degree in computer science, he began his career in public policy which led him to pursue a law degree. In 2008, he focused his career on e-discovery, overseeing dozens of projects for AmLaw 100 law firms, including a 9-month engagement leading a specialized search and analysis team for one of the largest global manufacturers of consumer electronics in a patent dispute. He developed expertise in managing e-discovery and document review workflows and was an early adopter of predictive coding technologies. He has successfully guided numerous clients through the predictive coding process, coaching them through a variety of workflows to achieve the best results for their projects. Tobin holds the Equivio Technical STAR certification and has led CLEs and seminars on predictive coding use cases and best practices. Tobin is a member of the California and District of Columbia Bar Associations.
About Discovia
Discovia provides electronic discovery services to corporations and law firms engaged in litigation, ITC investigations, and internal and regulatory investigations, including HSR Second Requests. Services include onsite and remote data collections, data minimization, data processing and hosting, expert application of leading technology-assisted review tools, document review management, and document productions. Discovia is one of the only eDiscovery services providers to achieve ISO 27001 certification and HIPAA/HITECH compliance for data security according to third-party auditors. Discovia is the first to publish its accuracy rate – 99.7 percent, and typically achieves data culling rates of 95 percent for repeat clients. Discovia is the first eDiscovery services firm to deliver a fixed-price managed services solution, enabling corporate legal departments and law firms to gain a world-class eDiscovery function with complete cost predictability. More information is available at 415-392-2900 or www.discovia.com
Event Synopsis:
Technology Assisted Review (TAR) is a relatively new form of investigative litigation in which a subset of documents are reviewed by attorneys and marked for relevance. Then, specialized software is used to apply the review decisions from the subset of documents to all remaining unreviewed documents. In supervised learning TAR (SLTAR), a type of predictive coding, the software simply identifies similar documents coded as ‘relevant’. In active learning TAR (ALTAR), also predictive, a subset of documents is chosen by attorneys and the computer returns samples of potential relevance. Finally, in knowledge engineering TAR (KETAR), software attempts to replicate how an attorney thinks about complex problems and then creates a statistically generated ‘decision tree’ using artificial intelligence algorithms to determine relevance.
According to a representative of the US DOJ Antitrust Division, they expect that use of TAR in merger and acquisition litigation will increase. Recent research has shown that TAR produces results that are at least comparable to manual review, with ALTAR and KETAR demonstrating 10 percent greater accuracy. However, such predictive coding used to determine relevancy is only as good as the algorithms used and the ability of initial reviewers. Worryingly for the scientifically minded, there is limited robust statistical data on effectiveness, accuracy, and precision.
The Knowledge Group has assembled a panel of key thought leaders to provide the audience with an in-depth review and discussion of Technology-Assisted Document Review (TAR) in Merger Investigations. Speakers will explain the benefits of adopting TAR and its implications for merging parties. The panel also will provide the audience with best practices to avoid common pitfalls and risks in using TAR for merger investigations.
Key topics include:
- Merger Investigations – An Overview
- Technology-Assisted Document Review (TAR)
- TAR in Merger Litigation – Benefits and Implications
- Risks and Pitfalls of using TAR
- Traditional Review vs. TAR
- TAR Requirements, Costs, and Complications
- Statistical Robustness
- Regulatory Updates
About The Knowledge Group/The Knowledge Congress Live Webcast Series
The Knowledge Group was established with the mission to produce unbiased, objective, and educational live webinars that examine industry trends and regulatory changes from a variety of different perspectives. The goal is to deliver a unique multilevel analysis of an important issue affecting business in a highly focused format. To contact or register for an event, please visit: http://theknowledgegroup.org/
Contact
The Knowledge Group
Thomas LaPointe, Jr., Executive Director
1.800.578.4370
www.theknowledgegroup.org
Therese Lumbao, Director
Account Management & Member Services
tlumbao@knowledgecongress.org
Thomas LaPointe, Jr., Executive Director
1.800.578.4370
www.theknowledgegroup.org
Therese Lumbao, Director
Account Management & Member Services
tlumbao@knowledgecongress.org
Contact
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