E-Discovery Revisited: A Broader Perspective for IR Researchers Jack G. Conrad, Thomson R&D ICAIL07 / DESI Workshop June 4, 2007

Thomson Research & Development June 4, EDD Outline EDD ― The Big Picture Motivations Background EDD interactions: the “dance” of the litigants The complete EDD pipeline Alternative view of the enabling technologies

Thomson Research & Development June 4, EDD ― The Big Picture Electronic Data Discovery ― –Context: Practical Research & TREC –Motivations:  (1) Recent characterization of State of the Art in EDD  (2) Informational materials available for participants in forums like TREC

Thomson Research & Development June 4, EDD ― The Big Picture Electronic Data Discovery ― –Presently exist companies offering some form of EDD software or services. –Several offer complete services across the E-Discovery spectrum –Kroll On-Track  Recently acquired Engenium (Symetric), the concept search engine co. –LN  Acquired Applied Discovery in recent past, and also offers a full spectrum of EDD services –EDD performance bar constantly being raised –Essential need to share diverse perspectives in field with next generation researchers  What is the “dance of the litigants”? … the complete EDD pipeline? … possible interactions of the enabling technologies?

Thomson Research & Development June 4, Source of EDD Survey Responses The Socha-Gelbmann Report, 2005 –In total, 240 consumers/providers of EDD software / services were contacted  139 expressed interest in participating  72 of those were surveyed via spreadsheet or phone interview  3 of the final spreadsheets did not contain enough info to be used –Conducted among 69 E-Discovery consumers & providers  24 consumers; 45 providers –Consumers  A cross-section of Am Law 200 law firms + large U.S. companies –Providers  A broad-based collection of software & service providers who market their offerings as E-Discovery tools or services

Thomson Research & Development June 4, E-Discovery ― Areas of Industry Strength

Thomson Research & Development June 4, E-Discovery ― Areas of Industry Weakness

Thomson Research & Development June 4, EDD Scenarios — “the dance of the litigants” EDD resources Party A vs. Company B (David vs. Goliath) Employment Discrimination EDD resources Gov’t vs. Company C Securities Fraud Intellectual Property EDD resources Company D vs. Company E

Thomson Research & Development June 4, The EDD Work Flow Model E-Discovery Pipeline Data Gatherin g Preservati on & Collection Media Restorati on (data trans. to a std. media) Data Processi ng (filtering, format conversio n) Online Review: Hosting & Searching Product ion & Delivery Data Entry & Scanning E-Discovery Consulting (throughout process) Identification (relevant content and its scope) Breadth and depth of discoverable materials established Hard copy media converted (e.g., OCR) or audio records transcribed Electronically stored info. is preserved from multiple sources Data transferred from original or intermediate media to uniform media for analysis Vetting performed to reduce volume of data (incl. filtering, deduping, clustering, etc.) Primary review stage. Data transferred to dedicated repository Searching based upon sources, dates, orig. file types, key words, etc. Advice to clients on strategies & procedures for conducting E- Discovery processing Delivery of reports to clients, systems, in diff. formats & media

Thomson Research & Development June 4, The EDD Work Flow Model E-Discovery Pipeline Data Gatherin g Preservati on & Collection Media Restorati on (data trans. to a std. media) Data Processi ng (filtering, format conversio n) Online Review: Hosting & Searching Product ion & Delivery Data Entry & Scanning E-Discovery Consulting (throughout process) Identification (scope, depth of information) Proposed extended scope of text ‘retrieval’ task (i.e., including filtering, organizing & report generation) Proposed extended scope of text ‘retrieval’ task (i.e., including filtering, organizing & report generation)

Thomson Research & Development June 4, I I I I I IV E-Discovery Technology Pyramid Foundation ― collecting: identification, conversion, migration Second Tier ― vetting: filtering, de- duping, handling similar doc-objects Third Tier ― organizing: classifying or clustering; tagging & linking Fourth Tier ― analyzing: consoli- dating & summarizing; production Indexing Navigating Searching & Reporting Hosting

Thomson Research & Development June 4, Additional E-Discovery Challenges Workflow Support Process Efficiencies –Per Step –Overall Tool Integration Ease of Use –For Customers –For Support High Value to Cost Ratio –Added value through advanced technologies A TREC-like forum has much potential to contribute here –Both within and beyond the context of IR

E-Discovery Revisited: A Broader Perspective for IR Researchers Jack G. Conrad, Thomson R&D ICAIL07 / DESI Workshop June 4, 2007