Experienced eDiscovery counsel, team leaders, and project managers can name with off the cuff fluidity domains that should be omitted from virtually all eDiscovery matters. The repetitive exercise of filtering unnecessary electronically stored information [ESI] from data collections has become a standard for these veterans. In addition to the known irrelevant domains, like weekly ESPN feeds and Blue Mountain e-cards, these eDiscovery professionals use various approaches for identifying other email domains for wholesale removal from their ESI population before beginning the process of review.  Spam removal from ESI can also improve the relevancy ratio for an ESI data set in any litigation. Some eDiscovery technology solutions provide domain analytics tools that can facilitate the management of email documents for review based on their respective communication domain terminals.

Capital Novus takes a unique approach to domain analytics by providing reviewers with a quick overview of the domains in the data set in a fashion that conveys who communicated with whom trailing corresponding frequency information.

The Capital Novus’s eZVUE and eZReview modules of eZSuite integrate domain analytics tools for analyzing large PST content for eDiscovery review filtering.  Domain analytics present content in a format for easy identification of weekly newsfeed, recurring junk sources and privileged emails from ESI. The eZVUE domain analytics contain a listserv of over 250 potentially privileged domains that can prompt culling exercises or creating a review set of privilege emails. The ability to categorize large sets of non-responsive and privileged information through domain filtering can save time, facilitate compliance with eDiscovery budgets, and promote review efficiency.

Additionally, as key domains surface as sources for particular review issue relevance, legal teams can dynamically prioritize datasets based on the domain analytics results. For email data from multiple custodians or a company server, the domain communications function provides intelligence regarding communication connections within a certain entity. Domain analytics can facilitate the separation of internal and external communications for further review.

For example, reviewers can build a search based on all emails Company A sent internally or to specific recipient domains. Reviewers can also achieve the reverse by identifying all emails received by Company A from internal sources or specific domains. Furthermore, a subsequent date filter can refine the results. Figure 1.0 displays this option. 

Figure 1.0

 

 

Afterwards, additional filters can further prioritize and organize the review set by limiting the data set to certain custodians, full text terms, etc. A host of advanced search options can refine data sets of this nature within eZReview and eZVUE applications.

Domain analytics can cull an ESI dataset or categorize segments for further review. Employing this technology will assist in refining a workflow based on review needs.

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Terms and Conditions

Terms and conditions for training courses

I will abide to follow following terms and conditions once registering a course with Institute of Forensic Science, Gujarat Forensic Sciences University in association with Capital Novus,

1. Face-to-face courses normally run with a suitable minimum of participants. Should a course be cancelled because of shortage of participants, you will be offered a place on an alternative course or a full refund of fees paid.
2. Confirm that you are willing to participate fully in the course.
3. Agree to pay the relevant fees.
4. Agree not to distribute the work or material or lecture notes or any other related to this course (online or hard copy) without permission in written from Institute of Forensic Science, Gujarat Forensic Sciences University.
5. Agree to take full responsibility for your actions and opinions.
6. Confirm that you have, or are willing to secure access to, relevant materials where the course necessitates this.
7. All courses must be completed within stipulated time decided by the Institute of Forensic Science, Gujarat Forensic Sciences University and if fail to complete within stipulated time or fail to attend regular theory and / or practical session , admission will be cancelled and to continue, fees need to be paid.
8. Refunds will not be payable after a course has been started.
9. While registering the course, candidate must provide an accurate and complete postal address, contact telephone number and e-mail address. We may refuse or cancel your enrolment if you do not supply these. Your details will not be used for any purpose other than the efficient and effective running of Real Group Ltd.
10. If circumstances arise that are beyond our control, it may be necessary from time to time to change/cancel course dates, content, venues and prices from those published. Whilst we will make every effort to transfer your booking to the next available course at your preferred venue, it should be noted that we will not be held liable for any costs/losses incurred as a result of any such changes. If we are no longer able to provide your course, we will ask you to return any course materials to us (at our expense) in the condition as originally delivered to you and refund to you any fees paid to date when we receive the materials as required.
11. The majority of correspondence with and from Real Group Ltd is conducted electronically using e-mail and web-based protocols. Your details will be added automatically to our database. Your details will not be passed to any third party without your permission, unless requested by law or a similar authority.

Institute of Forensic Science, Gujarat Forensic Sciences University in association with Capital Novus reserves the rights to change or amendment in the terms and conditions from 01 to 11 time to time and I agree to abide same