Predictive Coding Systems for Electronic Discovery

dc.contributor.authorSoundarajan, Dhivya
dc.contributor.authorHook, Sara Anne
dc.date.accessioned2016-10-14T15:12:13Z
dc.date.available2016-10-14T15:12:13Z
dc.date.issued2016-10-14
dc.description.abstractOver the past year, the presenters have been working to design a simple predictive coding system for electronic discovery (e-discovery) based on readily-available software and Natural Language Processing. In this presentation, they cover the history of e-discovery in the U.S., the evolution and increasing acceptance of predictive coding/Technology-Assisted Review (TAR) as part of an e-discovery process, considerations, including software choices, in constructing a predictive coding system and a demonstration of the prototype that Ms. Soundarajan developed. They will discuss their future work, which will include usability testing of the system with a focus group of lawyers who are responsible for e-discovery, the features and functionality that they would like to add to the system and the larger set of materials they would like to experiment with to further refine their system's capabilities.en_US
dc.identifier.citationSoundarajan, D. and Hook, S.A.: Predictive Coding Systems for Electronic Discovery. HCC Department Brown Bag presentation, Indiana University School of Informatics and Computing, IUPUI, October 14, 2016.en_US
dc.identifier.urihttps://hdl.handle.net/1805/11169
dc.language.isoen_USen_US
dc.subjectElectronic discoveryen_US
dc.subjectPredictive codingen_US
dc.subjectTechnology-Assisted Review (TAR)en_US
dc.subjectNatural Language Processing (NLP)en_US
dc.subjectSystem architectureen_US
dc.subjectInformation retrievalen_US
dc.subjectLitigation supporten_US
dc.titlePredictive Coding Systems for Electronic Discoveryen_US
dc.typePresentationen_US
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