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Automating e-discovery: The end of lawyer input on document review?

Drew Macaulay and Olivier Aelterman consider whether artificial intelligence could fully remove human involvement in the e-discovery process

4 March 2013

 

Electronic discovery technology has evolved rapidly and must continue to do so to remain equal to the task of supporting discovery exercises that now frequently involve terabytes of data.

Not so long ago, a case involving the review of a few thousand scanned hard copy documents would be considered significant. Nowadays, modern systems are capable of indexing and analysing millions of emails, spreadsheets, chat messages, tweets, telephone recordings and other electronic documents, and have built-in tools for advanced searching, structuring review workflows and the creation of lists of documents produced and withheld for privilege.

The primary driver of this development has been to make the discovery process more efficient by automating tasks wherever possible. This article will discuss whether this continuing drive to automate wi...

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