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

Presented to AIIM William Penn Chapter Meeting 5/13/08. Enterprise Content Management. Efficiency and Effectiveness Gains. Electronically organize and classify unstructured documents Support organizational records retention and disposal policies and practices

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

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

  2. Enterprise Content Management Efficiency and Effectiveness Gains • 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

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

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

  5. 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

  6. 91% 50% of corporations with 20,000+ employees have been through an electronic discovery request. of corporations with 1,000+ employees have been through an electronic discovery request. 33% go through one or more requests per month. 50% of the time discovery requests are not satisfied. Why is eDiscovery So Important?

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

  8. =The Problem=

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

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

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

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

  13. Pivot EquiSet Similarity vis-à-vis pivot

  14. Displays differences

  15. Equivio>Email Threads

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

  17. =The Solution= Group email sets

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

  19. Review Differences

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

  21. Demonstrations • Summation • Equivio

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