Insiders' Guide to Technology-Assisted Review (TAR)
The Professional's Guide to the Theory and Practice of TAR
This important resource explores the legal, linguistic, and technical issues associated with the use of Technology-Assisted Review (TAR) and offers a summary of the existing case law that has arisen over "predictive coding." Predictive coding refers to different technologies, often based on a variety of assumptions that obfuscate the true nature of the solution. Insiders' Guide to Technology-Assisted Review (TAR) describes the different structures of document review, in which individual items are labeled according to criteria provided by a set of requests, such as in a discovery document request.
Insiders' Guide to Technology-Assisted Review (TAR) is filled with the information needed to meet the challenges of searching electronic data that is posed by basic properties of language. It explains Boolean search and "extended" search, the paradigm of "query-document similarity" and "latent variable" models. The authors also outline the choices underlying available predictive coding systems. Fundamentally, TAR technology involves the application of formal processes and customized algorithms over a document collection. The text provides an understanding of how this is done by different systems that enables differentiating among them in order to evaluate their application in different contexts, such as a discovery setting in a particular case. The text also contains critical information on measuring the quality of the review that includes proven methods for testing and validating document review.
Comprehensive and accessible, this book gives professionals a resource for obtaining a thorough understanding of the theory and practice of TAR.
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