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CIO Talk Network Podcast

Oct 24, 2012

When it comes to complex cases, the costs imposed by the eDiscovery process often outweigh any benefit to the litigants. Consequently, computer-assisted predictive document coding is gaining popularity, as it promises to reduce the time and money spent on e-discovery by employing software to review large volumes of electronic documents and determine their relevance, thus drastically reducing the number of documents that still need to be reviewed by human eyes. However, such software depends on algorithms, so the coding process still requires attorney involvement at the outset to train the software to recognize relevant documents. Another issue is that the documents so identified, must be acceptable to both sides. Is predictive coding worth it, or will it just create additional complexity and false positives?

Guest: Shannon Capone Kirk
Title: eDiscovery Counsel, Ropes & Gray

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