DIY eDiscovery is possible, but not easy. How much your legal team can handle on their own depends on many factors. Learn whether to insource, outsource, or seek a hybrid solution.
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Self-Service Data Processing: Turning eDiscovery From a Cost Center to a Profit Center
Large internal eDiscovery teams often manage their own data processing, and use outside expert services for complicated data sets or when large matters require additional resources. Learn how RelativityOne’s Import/Export tool allows users to drag and drop data directly into their Relativity workspace for full document processing.
How eDiscovery Software Accelerates Data Breach Response
After a data breach is discovered, notification becomes essential. Companies are under tremendous pressure to determine what data has been taken and who they must notify, sometimes in as little as 72 hours. That’s where eDiscovery expertise can make a key contribution.
Justice for Change: Pro Bono in Legal Tech and eDiscovery
Justice can only be gained on a level playing field, and tools that allow legal consumers to engage in the discovery process in a more efficient, effective way will help them get to that core truth more quickly. Read on for how the Justice for Change program provides access to best-in-breed eDiscovery technology.
When BYOD Backfires
BYOD policies allow employees to use personal devices to access the organization’s data in the pursuit of doing their jobs. Cost-savings and convenience aside, misunderstandings surrounding BYOD policies are driving a steady stream of litigation and investigations. Do the risks outweigh the benefits?
Automating eDiscovery Database Management with AutoArchive
Tracking user activity on a matter-by-matter basis can be extremely tedious, time-consuming and cost-intensive. Months and even years of active hosting and user costs can accumulate on inactive matters while case teams await a final disposition or settlement agreement. Vision AutoArchive automates eDiscovery database management based on user activity and other pre-set criteria.
Automating eDiscovery Reporting with AutoReport
Legacy manual reporting methods required the running of database scripts, saved searches, exports and compilation of metrics, often across platforms to provide eDiscovery snapshots in time. AutoReport allows for the scheduling and automated delivery of detailed metrics reporting directly from Relativity.
Automating eDiscovery with Active Learning AutoRanking
Narrowing down the universe of relevant documents as quickly as possible to expedite review and production is the greatest challenge in any eDiscovery matter. AutoRank allows clients to fully realize the benefits of Relativity Active Learning at any stage of the search, review, and production process while maintaining the flexibility to review documents based on matter-specific production priorities.
Automating eDiscovery with QC Overturn AutoTracker
Overturn reporting can be a tedious, manual process, often performed on a weekly basis to avoid excessive professional service charges. AutoTracker integrates with the RelativityOne workspace to automate the process of tracking and reporting reviewer overturns.
Automating eDiscovery for Enhanced Productivity, Accuracy, and Cost-Savings
In this series, we explore a series of proprietary automations for review, analytics, reporting and database management that comprise the CDS Vision 2.0 feature release which streamlines and automates time-intensive, essential processes for CDS Relativity users.
Why Small- and Medium-Sized Businesses (SMBs) Should Leverage the Cloud When Choosing eDiscovery Technology
Companies with lean legal teams have more options than ever for managing the eDiscovery process that don’t require special training or certifications. Cloud-based eDiscovery platforms are shifting the data management landscape by giving companies of all sizes on-demand access to tools that empower them to take control of their data.
Technology, Tools and Techniques for Mining Cloud Archives
In a recent webinar, experts discussed the latest technology and best practices for handling archived data. They also looked at how the accessibility of cloud storage will impact the Courts’ interpretation of proportionality.