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This IT buyer's guide dives into eDiscovery software requirements by highlighting the capabilities commonly needed by IT teams and how a web-based legal process management software suite meets these requirements.
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Email archiving is critical to providing archive, search and retrieval options for compliance and discovery mandates. Download this white paper for tips on selecting and implementing an appropriate and effective archive system.
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This informative guide addresses common questions legal teams have about predictive technologies, and showcases how real-world users are taking advantage of these new capabilities.
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This informative white paper describes the role of proportionality in today's collection practices, as well as the 5 best practices for defensibly reducing electronically stored information (ESI) collections.
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Microsoft Exchange Server is a powerful enterprise messaging tool that has proven to be very successful over the years. This white paper, sponsored by Sherpa Software, outlines the various archiving and eDiscovery features in Exchange 2010, examines how they work, and discusses various limitations in their deployment.
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Efficient storage of emails and attachments is recognized as one of the biggest challenges facing IT departments today. This white paper outlines how an email archiving solution can help reduce storage requirements and meet compliance regulations.
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This whitepaper considers the importance of building operations data, and how tapping this information for deep insights can help reduce overhead cost. Access now for details.
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This white paper explains why granular control is the best way to utilize data reduction tools deduplication and compression. Find out exactly what granular control is and how a leading product can help with data reduction.
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Download this resource to see how your peers are responding to the biggest challenges to the current state of secure software development and its changing methodologies.
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This resource explores how businesses big and small are navigating the challenges of a big data 2.0 world, and explains how predictive analytics can turn big data into business value.
