Mindseye TunnelVision Streamlines eDiscovery Workflow through Seamless Integration with Relativity

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Through Relativity Integration, TunnelVision Minimizes Data Hand-offs to Deliver Review Data in Near Real-time.

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By integrating TunnelVision with Relativity to more safely and easily transfer data from processing to review, Mindseye is improving e-discovery workflow for their users and ours.

Mindseye, developers of the powerful interactive filtering and ediscovery processing technology TunnelVision, today announced the release of version 3.2 of the flagship product, which introduces a seamless integration with Relativity. Companies using TunnelVision now have the ability to move data between TunnelVision and Relativity programmatically to sharply reduce the time in making review data available, while minimizing the risks of manual hand-offs between systems.

“We are very excited to be a part of the Relativity ISV network,” said Bob Krantz CEO of Mindseye. “Our philosophy as a company is to maintain a sharp focus on being the best processing and analysis solution on the market. The integration with Relativity enables us to programmatically deliver data to an industry leading review solution to offer our clients a tightly integrated best of breed approach to addressing the challenges of ediscovery.”

Leveraging Relativity’s API, TunnelVision 3.2 enables administrators to bind Relativity workspaces to new or existing TunnelVision cases, view and map existing Relativity fields to available TunnelVision export fields, and add or update files to a Relativity workspace for review. In addition, administrators have the ability to account for and handle any records that fail to load and save all settings to templates in order to further streamline the process, ensure consistency across exports, and significantly reduce the time required to migrate date to review.

“We’re thrilled to have ISV partners like Mindseye building integrations that extend the capabilities of Relativity,” said Andrew Sieja, president and CEO of kCura. “By integrating TunnelVision with Relativity to more safely and easily transfer data from processing to review, Mindseye is improving e-discovery workflow for their users and ours.”

Mindseye will be showcasing the integration and additional version 3.2 feature enhancements during LegalTech New York. Please contact Mindseye to schedule a private demo of the solution, or come see a demo of the integration at the Relativity Hands-on Lab between 11am and 3pm Tuesday, January 31st.

About Mindseye

Mindseye is the developer of TunnelVision, a powerful data assessment, interactive filtering and native processing software created through 30 years of ediscovery experience and specifically designed to address the unique requirements of the ediscovery process. TunnelVision enables efficient discovery of key data, communication and planning around detailed results, and support of the process through sampling, validation, and step by step reporting. Please visit http://www.mindseyesolutions.com for more information.

About kCura

Recognized as a “Leader” in Gartner’s 2011 E-Discovery Magic Quadrant, kCura are the developers of the e-discovery software Relativity, a web-based platform for the review, analysis, and production of electronic data. Relativity has more than 52,000 active users worldwide from organizations including the U.S. Department of Justice and 95 of the top 100 law firms in the United States. Relativity also powers Method, kCura’s workflow and notification system for managing legal hold and risk assessment processes. kCura helps corporations, law firms, and government agencies meet e-discovery challenges by installing Relativity and Method on-premises and providing hosted, on-demand solutions through a global network of partners. kCura has been ranked the 42nd fastest-growing technology company in North America on Deloitte’s Technology Fast 500 and named one of Chicago’s Top Workplaces by the Chicago Tribune. Please contact kCura at info(at)kcura(dot)com or visit http://www.kcura.com for more information.

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Sasha L. Hefler
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