Legal teams preparing for predictive coding or Technology Assisted Review (TAR) seek solutions to increase the likelihood of accuracy in the artificially intelligent coding. The resulting accuracy depends upon the accuracy and consistency of the review of sample documents used by the system for the automatic document profiling. Subsequent sample reviews may be required if the initial review does not produce good preliminary test results, thereby increasing the number of documents to review and the time to completion of the final coding process.

Capital Novus provides technology in eZSuite’s eZReview to mitigate inconsistency in coding and to enable CN’s ADP TAR Predictive Coding technology to generate the best results possible. Like the two players who beat a computer at chess in 2005 by combining human intellect with computer processing,  eZReview provides tools to allow the human reviewer to do the parts that they do best and the computer to do the parts that technology does best.

eZReview provides text file size searching that can identify files with no text to eliminate documents that do not have the text required for the analysis of the predictive coding algorithms. These documents can be pictures, images, or other media files. They can be system files or auto-generated emails that are sent out to the mass public. The removal of these documents from sample sets eliminates the opportunity for skewed results based on documents that are not conducive to analysis.

This technology works best with a small team of expert reviewers assigned to the review to minimize disparate calls on similar documents and increase the likelihood of consistent coding. Ensuring that the same 2-3 experts review the initial control sample and the training samples yields best results in this environment.

System algorithms require the team to review based purely on document content. The document body and key metadata values function as the review sources. Factors such as family members, email thread leafs, or related documentation should not be considered when making the sample coding decisions.

Following the review of the control and training sample sets, the final system checkpoint includes eZReview’s ADP Conflict Decision Reporting. Dynamic reports provide comparisons and hyperlinks to address conflicting coding decisions between similar documents. Reports provide conflicting coding designation identification for exact and near duplicates.

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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