Hosted eDiscovery becomes viable again
Over the last two years, the trend has been to bring some or all of the eDiscovery process in-house, mainly to save money…large amounts of money. This movement to bring eDiscovery in-house has risks associated with it, the risk of not fully being able to effectively meet all the process requirements i.e. not finding/recognizing all ESI that could be responsive or privileged. Many organizations have tried to bring eDiscovery in-house by relying on their current infrastructure solutions.
For example, searching for responsive data by conducting a “search” in the SharePoint or Exchange applications can be risky because these types of applications rely on simple “key word” searches of a record or email. A simple keyword search will usually not find the entire results set of possibly responsive records because they aren’t setup to also index metadata, attached files, hyperlinks and other types of data. Why is that a problem? Not turning over all responsive data will not go over well with the Judge or opposing counsel.
Unless your organization has already invested in specific eDiscovery analytical tools, you run the risk of not fully complying with the eDiscovery request. This has been the major fault with bringing eDiscovery in-house for many organizations. To do eDiscovery right, you have to invest in eDiscovery technology for in-house eDiscovery or rely on outsourced eDiscovery providers.
Even one eDiscovery can cost a huge amount of money if you have to pay an outside organization to review the millions of files/records that could be responsive or privileged.
What if millions of those potentially responsive records or files could be reduced by advanced filtering and culled down to a much smaller data set before you start the review process?
Iron Mountain has introduced a new hosted discovery service called Stratify Legal Discovery OnPoint. Stratify Legal Discovery OnPoint delivers free, unlimited early stage culling and filtering with advanced review to simplify eDiscovery, reduce data volumes and drive down the total cost of review.
Analytical techniques including enterprise-grade search and metadata-based faceted search, automatic concept organization, and random sampling technologies are used to significantly reduce data volumes while establishing a defensible process for selecting responsive data.
Stratify Legal Discovery OnPoint stages data incrementally, so attorneys can start analyzing and filtering their data immediately upon initial data collection. Throughout the life of a matter attorneys can always return to the original restored data set to identify documents they want to include in the review.
The new service includes automatic matter-specific concept organization to quickly identify relevant groupings of documents random sampling to validate and QC tagging, review accuracy, reviewer quality and production sets, Stratify Document Analytics to identify risky Microsoft Office documents using hidden metadata fields and Stratify Visual Email Analytics to identify key custodians and critical emails.
Tags: e-discovery, eDiscovery, electronic discovery, iron mountain, keyword, litigation, metadata, onPoint, responsive, startify
