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http://dx.doi.org/10.3743/KOSIM.2016.33.4.125

A Study on Application of Predictive Coding Tool for Enterprise E-Discovery  

Yu, Jun Sang (명지대학교 기록정보과학전문대학원 기록관리전공)
Yim, Jin Hee (명지대학교 기록정보과학전문대학원)
Publication Information
Journal of the Korean Society for information Management / v.33, no.4, 2016 , pp. 125-157 More about this Journal
Abstract
As the domestic companies which have made inroads into foreign markets have more lawsuits, these companies' demands for responding to E-Discovery are also increasing. E-Discovery, derived from Anglo-American law, is the system to find electronic evidences related to lawsuits among scattered electronic data within limited time, to review them as evidences, and to submit them. It is not difficult to find, select, review, and submit evidences within limited time given the reality that the domestic companies do not manage their records even though lots of electronic records are produced everyday. To reduce items to be reviewed and proceed the process efficiently is one of the most important tasks to win a lawsuit. The Predictive Coding is a computer assisted review instrument used in reviewing process of E-Discovery, which is to help companies review their own electronic data using mechanical learning. Predictive Coding is more efficient than the previous computer assister review tools and has a merit to select electronic data related to lawsuit. Through companies' selection of efficient computer assisted review instrument and continuous records management, it is expected that time and cost for reviewing will be saved. Therefore, in for companies to respond to E-Discovery, it is required to seek the most effective method through introduction of the professional Predictive Coding solution and Business records management with consideration of time and cost.
Keywords
E-Discovery; electronic discovery; machine learning; search tool; business record; predictive coding;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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