Email Threading: An Asset for e-Discovery
Most are not familiar with the concept of e-discovery—the electronic aspect of identifying, collecting, and producing electronically stored information (ESI) in response to a request for production in a lawsuit or investigation. ESI includes emails, documents, presentations, databases, voicemail, audio and video files, social media, and websites.
Today, with the continuous progression of e-discovery and email threading, an analytics tool that identifies the most recent strings of an email and excludes all the smaller parts that make up the larger string is becoming more and more prevalent.
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Email threading is proving to be valuable for saving cost and bringing in more efficiency in document review and production. It enables litigation teams to review fewer legal documents and still produce the same amount of substantive content. An attorney doesn’t have to waste time reviewing all the separate parts of an email chain over and over again; but rather by using this simplified way, he/she can review email during the document review process. Email threading helps with consistency, and alongside, also lowers the margin for error. It can also be a useful quality-control tool that can review the entire email thread, check for inconsistency, analyze the content, and identify the most comprehensive and unique content needed to build the case.
Perkins Coie, an international law firm, recently collaborated with Discovia, a managed e-discovery services provider, to employ email threading technology into their document review process. The technology enables the firm to identify the emails, group them, and reconstruct the chain of email conversations. Other benefits of email threading are the increased speed of reviewing documents, significant cost savings, consistent document production and review procedure, and significantly reduced the number of documents requiring review.
Though the technology is still in its infancy, it is likely that email threading will soon become an industry standard for global data de-duplication.
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