Friday, January 27, 2012

Exego3, eDiscovery, indexes all data up front, handles difficult document types, & large volumes

Exego completely indexes all of the data up front, handles difficult document types, and large volumes of image-only data rapidly and accurately. Exego significantly reduces the amount of data required for review by giving our clients the ability to proactively, cull large amounts of data in a systematic, defensible manner. Our just-released Version 3 of Exego features several new and advanced capabilities to further validate and streamline the ever-growing searching challenges:

Asynchronous Searching
Submit searches and keep working while those multiple searches run in the background. User and reviewer efficiency significantly increases - work uninterrupted while one or more searches run in parallel. The reviewer’s focus remains on the iterative process of improving search terms and understanding the data. All query results are archived, allowing instant access at any time without having to rerun searches. The reviewer can return hours later, recall the results of the previously run queries, then almost instantly jump between the results of different queries to compare results.

Enhanced Meta Data Search Tools A command of the metadata is central to understanding the contents of the document collection. Unfortunately, searching on metadata fields tends to be complex and frequently results in many false positives. This new feature allows easy construction of queries across large numbers of metadata fields (or to exclude unwanted fields) to reduce false positives and/or hone in on very specific fields. The point and click user interface keeps it simple and lightning fast. Built-in templates are provided to create searches targeted to common meta-data fields (e.g. sender, to, cc and bcc fields) allowing the focus to be on the terms and not on the complexities of the metadata.

Validation Through Random Sampling This feature allows the user to sample against non-responsive documents, as well as to apply sampling techniques to quantify the effectiveness of search terms very early in the case. Partitioned data sets (i.e. filter by custodians, document type or other pertinent metadata and search terms) can be viewed to optimize the ediscovery process from the beginning. The key value to this feature is that a review team will know every aspect of their search strategy before they commit to reviewing large numbers of documents. At the end of the process, sampling can be used to ensure that “no stone has been left unturned” and that there were no unknown variations of idea/concepts overlooked due to lack of knowledge or inadequate search methodologies Combining Exego’s concept based search technology with this new feature provides complete assurance that the ediscovery team has performed a thorough and complete review in the most efficient manner.

Releasing Soon - ExegoView™ This summer Exego will evolve, becoming a platform where clients can seamlessly search, cull, review and produce documents all in one place. ExegoView™ is the next generation of data management. Our patent-pending workflow assures complete defensibility, validation and authentication of the entire end to end process. The debut release of ExegoView will include the following features: • Customizable meta-data coding and validation options
• Multiple foldering and re-foldering options
• Customizable workflows for multiple groups
• On-the-fly Pivot Table views
• Full and in-depth reporting
• Searching History and Caching for performance

By Guest Blogger: Planet Data