StoredIQ Adds Legacy Archived Media to eDiscovery Solution
Last week Clearwell and Recommind released updates to their respective eDiscovery platforms. Not to be outdone, StoredIQ (news, site) is leading the charge this week with their own announcement.

StoredIQ now offers classification-based security, available immediately. Now users can grant access to potentially responsive data for audits, investigations and eDiscovery requests based on content classification, rather than only physical location, such as server, share or directory structures.

Streamlining Security

Before data collection is finalized, companies can create a classification that represents the data to be reviewed by the legal team without having to move data or change the security privileges on each system for each file or email that needs to be reviewed.

Such a feature now frees up time for IT departments, who have usually had to spend lots of their time copying sets of data from production systems and placing them in a temporary storage location, where security access was then provided to the appropriate legal team.

StoredIQ hopes that they will have simplified a big piece of the eDiscovery puzzle. Security is often one of eDiscovery's biggest challenges and has prevented legal and IT teams from working together effectively.

As well, investigators and reviewers benefit from StoredIQ’s classification-based access because they can define and review custom types and categories of unstructured data depending upon specific business rules and selection criteria.

How it Works

StoredIQ’s classification engine locates, identifies, indexes and classifies unstructured and semi-structured data across a wide variety of platforms and services from email to archiving, and all kinds of content, document and record management systems.

It can handle all types of advanced searches, including system metadata, object level metadata, content keywords, natural language processing and concept extraction.

Who will Benefit?

Not only will inside counsel be able to construct matter-specific working sets that allow deeper pre-collection review and analysis, administrators will spend less time granting appropriate review access to large amounts of unstructured data.

Finally, StoredIQ aims to integrate user groups or individual users into the process by letting them be assigned to individual or multiple classification-based working sets in order to securely control data access.

StoredIQ's classification-based approach attempts to maintain search performance while giving the user the flexibility and power needed for comprehensive data access administration.