The document discusses how eDiscovery has become a primary driver of litigation expenses and how organizations need to treat discovery as a critical business process. It outlines how automation and standardization of interrelated information governance and discovery processes can help organizations gain control over their data, reduce costs, and ensure defensible processes. The Iron Mountain Enterprise Discovery Suite is presented as a solution that can transform, automate, and integrate governance and discovery to proactively manage risk and simplify workflows.

1. Enterprise Discovery: Taking Control, Driving Change December 1, 2010 INFORMATION MANAGEMENT

2. Featured Speakers Brian Babineau Senior Analyst ESG David Bayer Director Discovery Iron Mountain

3. The Goal of This Webcast is to: Explore the necessary strategies and tactics companies need to take to implement information governance and discovery as a consistent, integrated business process.

4. Agenda Iron Mountain’s Enterprise Discovery Suite Discovery in Context: Three Case Studies Information Governance and Discovery Questions and Answers Post Webcast: Chat with experts in the Solution Center Discovery, Automation and Critical Business Processes

5. The Bigger Questions Do a series of tasks become a defined a business process? Do you invest in automating a newly defined business process?

7. Why Automate Discovery? Top Litigation Areas Targeted for Increased Spending (% of respondents / U.S. & U.K.) 28% eDiscovery 25% Contracts 22% Labor & Employment 21% Regulatory investigations 14% IP Patents *Source: Fulbright & Jaworski, 7 th Annual Litigation Trends Survey Report, November 2010 75% increase from 2009

10. Potential Process Improvements Challenge: Data growth Improvements: Retention / disposition policies; remove redundancy, duplicates Challenge: Data dispersion, inaccessibility Improvements: Online, centralized system(s) of record; ability / flexibility to centralize as necessary Challenge: Prolonged cases; undeterminable risk; poor budget management Improvements: Automated preservation; initial case assessments, first pass reviews, predictable service provider fees

12. Discovery without Automation Identification Preservation Processing, Review, Analysis

13. The Impact of Discovery Process Automation Control and centralize information Easily find data Automate legal holds on existing and new data Customize workflows to tag data and manage cases Share only responsive, non privileged information in native format

16. The Transformation from Traditional eDiscovery… Reactive, matter-driven eDiscovery Information Management Identification Collection Preservation Review Analysis Processing Presentation Production

17. To Discovery as Critical Business Process Proactive discovery predicated on systematic governance policies and legal holds Information Management Identification Collection Preservation Review Analysis Processing Presentation Production

32. Thank you!