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

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Presentation transcript:

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

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

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

EDD Process Receive Data Index Reduce Search Convert Package Burn

 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

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?

 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

=The Problem=

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

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

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

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

EquiSet Pivot Similarity vis-à-vis pivot

Displays differences

Equivio> Threads

=The Problem= Reply to the Reply Original Near-duplicate Reply Reply to Near- duplicate Unstructured collection of s

Group sets =The Solution=

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

Review Differences

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

 Summation  Equivio Demonstrations