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1 Industry Leading Solutions: Innovative Technology. Quality Results. April 10, 2013 emagsolutions.com

2 Agenda Speaker Introduction A Quick Word about emag Importance of Technology Assisted Review (TAR) Key Features Within TAR Basic Steps in using Assisted Review Challenges in Predictive Coding

3 Today s Speaker Jeff Ruetten Sr Project Manager Over two decades of IT experience working with file and servers as well as backup retention policies Last 7 years in ediscovery/edrm Worked for both law firms and service providers Well versed in ESI technologies Practical experience as a Relativity Certified Administrator Hands on experience in all phases of EDRM model 3

4 A Quick Word about emag Solutions ediscovery pioneer for over 40 years Clients Corporations Government agencies (GSA contract) Law firms and legal services providers Rapid results Lower legal costs Improve compliance Reduce risk Iterative approach for full lifecycle EDRM Process any data format from any source, on-site in any jurisdiction around the globe Tool agnostic solutions Flexible, private or public cloud solutions ISO 27001:2005 Certified & Official WBENC certified Partner

5 Service Offerings Full Lifecycle ediscovery Solution Legal Review Hosting Litigation Readiness Consulting ediscovery Planning Consulting ediscovery Management Consulting Computer Forensics Data Recovery & Restoration

6 Why Technology Assisted Review (TAR) Tools are Important to you: High level of defensibility Overcomes inconsistent coding Excels in Big Data environments Shortened timeframes & lowered costs Exceeds typical KWS to Cluster/Concept Searches Demonstrated success in a wide variety of industries

7 Key Features Within TAR Tools Keyword Search: use of designated words to search for relevance among documents. Concept\Cluster Search: use of algorithms in the determination of whether documents are responsive to designated search query. Discussion Threading: also utilizes algorithms to link related documentation done chronologically to reveal conversations in their entirety.

8 Key Features Within TAR Tools Find Similar: use of a host document to retrieve others related to it s general theme. Near-Duplicate Identification: ability to identify, view, and code s, attachments, and files that are roughly duplicate.

9 Understand the Terms and the Confusion Matrix Precision - The fraction of Documents correctly identified as Relevant or Positive Predictive Value Recall - The fraction of Relevant Documents that are identified as Relevant Elusion - The fraction of Documents identified as Non-Relevant that are in fact Relevant. Accuracy - The fraction of Documents that are correctly coded Error - The fraction of all Documents that are incorrectly coded Fallout (FP) - The fraction of Non-Relevant Documents that are identified as Relevant Negative Predictive Value - The fraction of Documents that are identified correctly as Non-Relevant Prevalence - The fraction of Documents that are Relevant THE GROSSMAN-CORMACK GLOSSARY OFTECHNOLOGY-ASSISTED REVIEW

10 Basic TAR Workflow Step One Culling Elimination of irrelevant documents prior to using TAR. denist, file type, file size, de-dupe, date filter etc

11 Basic TAR Workflow Step Two Review key\specific Data Biased Set Consult with opposing to identify this set Use SME only for this phase The results of this phase will provide statistically how many responsive Documents you have RESPONSIVE?

12 Basic TAR Workflow Step Three Create a Random Set for Unbiased Set Review The control set is used to monitor the predictive coding/ assisted review tool s overall performance. This set is chosen at random. Size here is determined by desired system performance levels should be carefully considered. The larger the set the lower the margin of error. This control set can then be reviewed/coded manually for responsiveness.

13 Basic TAR Workflow Step Four Training the System This teaches the system to identify the difference between responsive and nonresponsive documents.

14 Basic TAR Workflow Step Five Review How the System Performed This would be considered 2 nd level review Pulls another random set for human review Changes are made then go back to step four If no changes are needed based on your predetermined statistical goals, proceed to step 6

15 Basic TAR Workflow Step Six Review the production set This is the final review making sure everything is correct. Find and code for confidentiality Find and code for privilege and apply redactions

16 Challenges in Predictive Coding Understanding the statistics. Is the process defensible. Illusion that human review is consistent and every document has to be looked at. Cost, 80% of ediscovery costs are review time. Risk of disclosing coding calls on the training set. Potential for producing privilege documents.

17 Lawyer Centric EDRM Including CAR/TAR

18 SUMMARY 1. This is probably the only area where you can achieve Time, cost and quality goals at the same time. 2. Studies show high degree of inconsistent coding horizontally (15%-19%) and vertically (45% between 2 assessors) 3. Use all the tools available, never rely on just one. 4. Understand the terminology References Vorhees (1998), Roitblat (2010), and Scholer (2011)

19 Your Worldwide ediscovery Provider Experts can be quickly deployed Any jurisdiction around the globe Accommodate national data privacy issues Full compliance with EU Safe Harbor laws

20 It s Your Turn Please submit your questions via WebEx chat

21 THANK YOU For more information visit

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