Designing a Predictive Coding System for Electronic Discovery
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Date
2017-07-14
Language
American English
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Abstract
This 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.
Description
Presentation 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.
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Cite As
Soundarajan, 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.
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