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Predictive Coding in E-discovery and the NexLP Story Engine by Irina Matveeva is a scholarly article available to read on EtoBox.

What is Predictive Coding in E-discovery and the NexLP Story Engine about?

Changes in the US Federal Rules of Civil Procedure in 2006 made electronic documents part of the evidence material for a case. 1 This led to an "e-discovery revolution," and natural language processing (NLP) technologies became standard tools in the document review process in civil litigation. 2 This was welcome news for investigators and litigators, since nowadays the most interesting and substantial pieces of evidence are often contained in electronic documents, particularly email conversations. However, these legal changes coincided with the explosion of available data, and the sheer volume of electronic information has made it necessary to search for new ways to handle and review electronic information. 3 The use of electronic media in business has led to a massive explosion of digital documents, especially email. In 2015, the number of emails sent and received per day totaled over 205 billion. 4 That number included business and private emails. This figure was then expected to grow at an average annual rate of 3% ever since, reaching over 246 billion by the end of 2019. 5 One reason for the growing volume of stored email is the steady decline in the cost of digital storage, th

Author

Irina Matveeva

Publisher

Cambridge University Press

Published

2021

Language

EN