It’s probably no surprise that a recent IDC (news, site) report identified Autonomy as the biggest search and e-Discovery vendor in the market at the moment. No surprise, that is, because it just keeps adding to ways it provides companies with e-Discovery capabilities. The most recent is the introduction of its new Meaning Based Coding of e-Discovery.
In the world of e-Discovery everyone’s looking to reduce times and cut costs. Time to discovery and costs, though, are inseperable and Autonomy’s (news, site) new MBC aims to do both by providing a technology that looks, learns and copies.
Based on its Intelligent Data Operating Layer (IDOL), which automatically understands the meaning of information within all forms of structured and unstructured information, MBC watches how documents are coded during review process, analyzes the methodology behind it and applies it to other searches.
It does this by ‘understanding’ the concepts used in legal review searches, and applies and analyzes it to documents that have still to be reviewed.
The result is time efficient searches whose length are reduced depending on how many different review processes the software observes and how it is applied to searches in particular reviews.
MBC and e-Discovery
MBC has been inserted into Autonomy’s already substantial e-Discovery review platform and comes courtesy of the Zantaz acquisition, which was completed in 2007.
Zantaz, which specializes in content archiving and e-discovery solutions software, was incorporated into Autonomy along with its extensive client base that included, and probably still includes, nine of the top 10 global law firms, 14 of the top 20 financial securities firms and 11 of the Fortune 25.
Autonomy Meaning Based Coding
And all of these companies are the kind of companies that are now looking for efficient e-Discovery solutions as compliance and regulatory demands continue to get harder to meet.
This is particularly true of companies that are still working off legacy systems and who have a large human capital investment in review processes, which in the current climate are often just not accurate and quick enough.
Enter MBC and its review analysis capabilities. These include:
- Automatic analysis of information using IDOL
- Information collection, processing and preservation of relevant information
- Speedy analysis of petabytes of information in 120 languages
- Dashboard with review analysis and indication of how review should proceed
- Flexible deployment as either on-premise or SaaS
MBC can also be used to review documents that have already been processed manually and can identify inconsistencies in that review for correction.
Autonomy and Search
For those that question the wisdom of Autonomy’s constant tweaking of its search and e-Discovery components, a recent report from IDC entitled Worldwide Search and Discovery 2009 Vendor Shares: An Update on Market Trends, makes interesting reading.
According to the report, Autonomy increased its market share lead to 15.3% over the course of 2009, representing a 50% lead over the next closest keyword search competitor, Microsoft (news, site) and is nearly double that of the third place vendor, Google.
This follows a pattern established in 2007, with a number of acquisitions to bolster its appeal and resulted in growth of 17.6% in 2008 over 2007 which increased its lead in the market by 14.4%. While it is still probably too soon to see where this is going in 2010, chances are it will continue in the same direction.
And most, if not all of this, is based around IDOL. Autonomy continues to be the largest enterprise supplier, using its search-based IDOL which is at the base of all its content-centric and search-driven business applications including e-Discovery and compliance, Web content management and enterprise content management.