Quality Control for predictive coding in eDiscovery
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Draft Submitted for publication in PERSPECTIVES ON PREDICTIVE CODING AND OTHER ADVANCED SEARCH AND REVIEW TECHNOLOGIES FOR THE LEGAL PRACTITIONER (ABA 2015) A TOUR OF TECHNOLOGY-ASSISTED REVIEW
Since the publication of our 2011 article, Technology-Assisted Review In E-Discovery Can Be More Effective and More Efficient Than Exhaustive Manual Review, in the Richmond Journal of Law and Technology (“JOLT article”), 1 the term “technology-assisted review” (“TAR”) – along with related terms such as “computer-assisted review” (“CAR”) and “predictive coding” (“PC”) – has been used extensively...
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Those who have been following developments in the area of electronic discovery are aware that the performance of a predictive coding process is typically characterized in terms the metrics of recall, yield, precision and elusion. Recall – the proportion of predicted responsives in the actual responsive population – is arguably the metric that matters most to the demanding party in a litigation....
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Another critical part of eDiscovery is bridging the gap between the investigator (the person defining the searches) and the attorney on the case. While the investigator may have a thorough understanding of the search technology and how to perform effective searches, he lacks the domain and case knowledge the attorney has regarding what deems a document responsive. In addition, the content and l...
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E-Discovery is the process of discovering electronically stored information such as email that is relevant to a legal case. A typical ediscovery process incurs huge costs due to the large volume of information and the requirement of highly specialized and expensive human resources (legal professionals). In this paper, we examine how information management technologies can be used to reduce the ...
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One condition of eDiscovery making it unique from other, more routine forms of IR is that all documents retrieved are settled by human inspection. Automated IR tools are used to reduce the size of a corpus search space to produce smaller sets of documents to be reviewed. However, a limitation associated with automated tools is they mainly employ statistical use of search terms that can result i...
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