| | January 20166CIOReviewCopyright © 2016 CIOReview. All rights reserved. Reproduction in whole or part of any text, photography or illustrations without written permission from the publisher is prohibited. The publisher assumes no responsibility for unsolicited manuscripts, photographs or illustrations. Views and opinions expressed in this publication are not necessarily those of the magazine and accordingly, no liability is assumed by the publisher thereof.CIOReviewJANUARY - 28 - 2016Managing EditorJeevan GeorgeEditorial StaffAlex D' SouzaJem ElizabethJoshua ParkerMatthew Jacob Shirley FaithSupriya Kumaraswamy T:510.565.7559 VisualizersStephen ThomasArpita GhosheDiscovery Technology SpecialCIOReviewSalesXavier Thomas xavier@cioreview.comMailing AddressCIOReview44790 S. Grimmer Blvd Suite 202, Fremont, CA 94538T:510.402.1463, F:510-894-8405 JANUARY - 28 - 2016, Vol 05 SE 08 Published by CIOReview To subscribe to CIOReviewVisit www.cioreview.com With the rising acknowledgements to eDiscovery, the software solutions and services in this market today are chiefly accountable for increasing the average revenues for software providers, platform sellers, and cloud-based service vendors. Today, the legal standards and case law that govern eDiscovery requirements are fluid, and the technology that supports these requirements continue to innovate at a blinding pace. From machine learning--that aids in quickly identifying and categorizing potentially relevant documents--to data analytics, these technologies not only help improve business performance but also predict risks before they become problems. In the current scenario, eDiscovery encompasses other electronic disciplines, like records management, cyber security and corporate compliance.Additionally, as part of a well-instituted risk mitigation plan, companies are implementing powerful technologies to deliver intuitive solutions that can produce a core volume of evidence for litigation in a defensible manner. This is powering analytics and predictive coding programs to become a standard practice in eDiscovery in the near future. It focuses on using a software program to identify documents that are relevant to a particular case or issue.Furthermore, in response to the emergence of IoT in eDiscovery, data, which is being generated by machines is transferred to the cloud. This data storage process, which is largely automated, presents numerous preservation challenges for litigators. In such a scenario, robust and dynamic software solutions like Hadoop and NoSQL solutions mitigate the inefficiencies by providing scalable storage and computational capability on clusters of commodity servers.Utilizing the advanced solutions, eDiscovery solution providers are now competing to quickly and easily respond to `discovery' needs and manage data in real-time. Keeping these things in mind, our editorial team analyzed the market forces and trends to bring to you the 20 most promising eDiscovery technology solution providers. We hope this information will help you to optimize your eDiscovery processes and make faster, better, and accurate decisions. Jeevan GeorgeManaging Editoreditor@cioreview.comEditorialTechnology-assisted Document Discovery
<
Page 5 |
Page 7 >