[Early Case Insight] 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.

[Early Case Insight] HaystackID is a truly customer-centric company that really understands how to blend technology and talent to help us achieve our litigation goals.  The HaystackID forensics team is tremendously agile and the project managers are the best that we have experienced when it comes to partnering with a service provider. As a smaller boutique law firm, we are routinely involved in fast-paced, complex discovery. HaystackID empowers us to support our clients with the very best of technology and some of the industry’s foremost discovery experts, allowing us to represent our clients from a position of informational advantage. White glove service and great support. That is why we use HaystackID.

[ReviewRight] Inspired Review’s focus on capturing metrics and testing reviewer aptitude ensures that the right people are assigned to each project time after time.

[ReviewRight] 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.

[Forensics First] HaystackID’s Cellebrite 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.