1. Presented to AIIM William Penn Chapter Meeting 5/13/08

3. Enterprise Content Management  Electronically organize and classify unstructured documents  Support organizational records retention and disposal policies and practices  Facilitate e-Discovery and support litigation hold policies and procedures  Significantly reduce time to search for and locate relevant materials  Ensure legal and regulatory compliance through electronic processes and security Efficiency and Effectiveness Gains

4. Utilize the proven AIIM content management methodology to:  Capture  Manage  Store  Preserve  Deliver organizational information, content, and documents

5. EDD Process Receive Data Index Reduce Search Convert Package Burn

7.  Scan, classify, and upload to centrally stored and organized repository  Access from anywhere, at any time  Perform complex searches, annotation and redaction with any document  Streamline productions for opposing counsel

8. of the time discovery requests are not satisfied. 50% go through one or more requests per month. 33% of corporations with 20,000+ employees have been through an electronic discovery request. 91% of corporations with 1,000+ employees have been through an electronic discovery request. 50% Why is eDiscovery So Important?

9.  Data review is the largest addressable cost in discovery – Forrester Report, 2006  Near-duplicates are the largest addressable cost in data review – Equivio users, 2006 “Tools aimed at making lawyers…as efficient as possible represent the largest potential cost savings in eDiscovery” - p.5

10. =The Problem=

11. Group the near-duplicates =The Solution: Step 1=

12. Assign near-dupe sets for coherent review =The Solution: Step 3=

13. Review just the differences Priority review =The Solution: Step 4=

14.  =The Solution: Step 5=  Consistent treatment

15. EquiSet Pivot Similarity vis-à-vis pivot

16. Displays differences

17. Equivio>Email Threads

18. =The Problem= Reply to the Reply Original email Near-duplicate Email Reply Email Reply to Near- duplicate Email Unstructured collection of emails

19. Group email sets =The Solution=

20. + + + + + +Suppress duplicates Identify missing links Build tree structure Focus on “inclusives” =The Solution=

21. Review Differences

22. Detects similarity of content, regardless of file type or formatting Microsoft Office -- Word, PowerPoint, Excel Email – PST, EML, MSG PDF ZIP HTML Text OCR-generated files File deconstruction – e.g. email body and attachments Allows user to regulate level of similarity Multi-lingual support Self-tuning

23.  Summation  Equivio Demonstrations