ZyLAB Preservation Vault

Paralegals and IT staff that support Legal Departments involved in an eDiscovery process are heavily burdened by their urgent collection requests. Data resides in too many different electronic formats, repository types and locations to be forensically (deep) searched, and data in the Cloud cannot be downloaded quickly enough. This burden results in hasty over-collection and processing errors, causing increased stress, expensive delays and unnecessary high review costs.

In order to address these problems, components of the ZyLAB eDiscovery Platform and the ZyLAB Exchange Synchronization Service were combined, resulting in the ZyLAB Preservation Vault. The ZyLAB Preservation Vault stores pre-processed data from selected custodians and data repositories that are frequently subjected to data requests related to eDiscoveries, regulatory requests, public records and FOIA requests, or internal investigations. ZyLAB’s eDiscovery Preservation Vault eliminates the need to repeatedly collect, process and review these data sets.

Benefits of 'ZyLAB Preservation Vault'

  • Selected data is pre-processed and ready for eDiscovery.
  • All technical errors will have been solved at ingestion, so eDiscovery collections can be done quickly and without interruption.
  • Collection and processing will be easier and won’t require the need for constant IT Department intervention.
  • Since the data is all pre-processed, estimating collection and processing times are more reliable.
  • Additional auto-classification and auto-redaction can be performed at the time of ingestion, then reviewed and tested, before an actual eDiscovery event.
  • Attorneys can perform deep searches during early case assessment, eliminating the need to over collect data because they could not rely on the incomplete index of the original repository.
  • Sensitive data can now be redacted once and for all in the Preservation Vault instead of re-reviewing and redacting for each new matter.
  • Privileged documents can be tagged as such and be excluded from all future collections, saving duplicate review efforts and limiting the risk of unintended disclosures.