HaystackID eDiscovery Information Guides

Review the fact sheets and case studies online or download them via the control bar at the bottom of each document to learn more about HaystackID and our complete portfolio of specialized eDiscovery services.

Fact Sheet

Cyber Discovery Framework

Fact Sheet

Post Data Breach Discovery and Review

Fact Sheet

Cybersecurity Consulting

Case Study

Operationalizing Data Mapping

Fact Sheet

Data Privacy Management (CSARS)

Fact Sheet

Data Privacy Management (DSARS)

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One of our computer forensics, eDiscovery, or legal review experts would be delighted to share with you how HaystackID may help you solve critical data and legal discovery challenges.

Words from HaystackID Customers

Envision Discovery [now HaystackID] has been our preferred eDiscovery service provider for several years. They have handled everything from onsite forensic collections at Duke to data processing, hosting in Relativity and project management on many of our cases. We have found that Envision offers superior service and technical expertise at a very competitive rate. They have been very helpful in working with our outside counsel, and their team of experts are some of the best in the industry. We have been extremely happy with Envision and consider them a valuable partner and an extension of our in-house legal team.
Shelby T. Duke University - Duke University Health System, Inc.
Inspired Review's focus on capturing metrics and testing reviewer aptitude ensures that the right people are assigned to each project time after time.
Jeffrey Nass Senior Counsel - eDiscovery Boehringer Ingelheim Pharmaceuticals, Inc.
Inspired Review was able to staff a project in 24 hours with 60 construction litigators to review 58,000 construction files with a 10-day deadline. They finished the review five days early. It was a remarkable deliverable and why I look to Inspired Review for all my document review support.
Jennifer Keadle Mason, Esq. Member Clark Hill, PLC
HaystackID's Mobile Device Integrator allows users to review and produce data extracted from mobile devices in Relativity. A recently added feature, message level de-duplication, allows for a time variance window when flagging duplicates. De-duplication can be performed across multiple devices and extraction types, including iChats harvested from computers.
Industry eDiscovery Technologist Relativity Innovation Awards Submission (2017)