Challenge

  • Looming and unforgiving deadlines for a large and complex eDiscovery matter involving a diverse population of more than 900,000 documents
  • Customer lacked sufficient resources, both for targeted forensic collection of emails, mobile data, and social media, as well as review of these materials
  • Escalating costs of review prior to Elevate’s involvement
  • Critical need for high accuracy and consistency in review processes

Solution

  • Optimised eDiscovery and review processes within RelativityOne executed by the Elevate document review team comprised of subject matter experts, reviewers, data analytics specialists, and eDiscovery professionals
  • Early Case Assessment (ECA) data mining techniques identified a subset of 180,000 documents for priority review
  • Continuous Active Learning (CAL), trained with 6,000 human-reviewed documents, identified 20,000 documents meriting immediate review
  • Collaboration between Elevate eDiscovery analytics experts and customer’s subject matter experts ensured maximum efficiency and accuracy using CAL

Impact

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88% reduction in the cost of review from tech-powered identification of documents based on relevance and priority ($115,000 USD savings)
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Allowed customer’s law firm more time for higher-value and strategic work
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Enhanced accuracy and consistency using CAL combined with human review

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