Designing a Predictive Coding System for Electronic Discovery

dc.contributor.authorSoundarajan, Dhivya
dc.contributor.authorHook, Sara Anne
dc.date.accessioned2017-07-17T21:02:01Z
dc.date.available2017-07-17T21:02:01Z
dc.date.issued2017-07-14
dc.descriptionPresentation given by Vishakha Kumari, HCI graduate student. The authors thank her for her assistance with this. Full paper available in Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration 19th International Conference, HCI International, Vancouver, BC, Canada, July 9–14, 2017, Proceedings, Part II, http://www.springer.com/us/book/9783319585239.en_US
dc.description.abstractThis paper presents the preliminary results of a pilot project to design a predictive coding system for electronic discovery (e-discovery) that will be able to handle potentially relevant evidence in a myriad of formats and that will have the features and functionality that lawyers and members of the legal team will find most use-ful. We developed our predictive coding system to combine available software tools with particular emphasis on usability and in making the user interface as in-tuitive, attractive and user-friendly as possible. Future work will include a survey and interviews with potential users, testing the system with larger sets of files and documents, and continued refinement of the user interface and backend processing.en_US
dc.identifier.citationSoundarajan, D. and Hook, S.A.: Designing a Predictive Coding System for Electronic Discovery. HCI International 2017, Vancouver, Canada, July 14, 2017. Presentation given by Vishakha Kumari.en_US
dc.identifier.urihttps://hdl.handle.net/1805/13498
dc.language.isoen_USen_US
dc.subjectPredictive codingen_US
dc.subjectTechnology-Assisted Review (TAR)en_US
dc.subjectLegal technologyen_US
dc.subjectLaw firmsen_US
dc.subjectElectronic discoveryen_US
dc.titleDesigning a Predictive Coding System for Electronic Discoveryen_US
dc.typePresentationen_US
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