When It Counts They Choose Pinpoint

Read this case study to learn how Eide Bailly LLP: Collected forensically-sound data from a highly classified Oklahoma- based research facility Utilized a robust tool to process a large multi-terabyte network data collection effectively applied Boolean, wildcard, and proximity keyword searching, date- and- time filter criterion to reduce a 10 terabyte data set to less than one terabyte of relevant information Download this Study

Read this case study to learn how: Steve and his team helped a subsidiary save more than $100,000 filtering emails Utilizing Harvester resolved extreme bandwidth issues for the large consulting firm Dramatically reduced an 80 gigabyte data set from 90 custodians to 7 gigabytes of relevant data Download this Study

Read this case study to learn how: Evidox searched through more than 6 terabytes of email data using 64 Boolean, Proximity, and Search Phrases Concisely narrowed down email search to .016% or the equivalent of 96 gigabytes of data Received considerable savings to Evidox client’s production and hosting costs Download this Study

Read this case study to learn how Dorsey: Dorsey has been recognized for workplace equality and inclusivity Purchased licenses to SafeCopy, a valuable tool used for reliable metadata capabilities Stage and copy eDiscovery data at a rate of 8GB/hour Download this Study

Read this case study to learn how: Johanna and her team helped a client filter through 2 terabytes of data in two weeks Dramatically reduced data set size to 25 gigabytes of relevant information Saved many clients thousands of dollars in resources Download this Study

Read this case study to learn how: Troutman Sanders eMerge creates success by utilizing targeted remote data collections on clients and Pinpoint Labs’ Harvester simultaneously Dramatically reducing a data set size by 96% saves on review time eMerge clients have saved millions of dollars Download this Study

Read this case study to learn how U.S. Legal Support: Remotely launched a data collection on a large network share involving six cities Automatically resumed jobs during network outages Filtered through 100 terabytes of data to less than 500 gigabytes of relevant information Download this Study

Read this case study to learn how: The Oliver Group extracted 650,000,000 documents from a SharePoint environment at a Fortune 500 healthcare provide Dramatically reduced the original data set to only 3,882 document Preserved metadata for each document from the 21 custodians

Read this case study to learn how Midwest Legal: Processed 25 gigabytes of data at an average speed of 30 minutes per custodian Culled down the 25 gigabyte data set by more than 87% or the equivalent of 5 gigabytes of relevant data Saved the Fortune 500 Company well over $500,000 in filtering and processing fees Download this Study