1. Analytics & Predictive Coding: Changing the Landscape for Investigations & eDiscovery Beth Patterson - Applied Legal Technology Director, Allens Jonathan Wong - Associate Freshfields Bruckhaus Deringer Akiko Miyake – Director, FTI 3 March 2014

2. Overview Why Analytics & Predictive Coding Matter Defining Analytics & Predictive Coding What is the uptake: Asia? Worldwide? Deciding on what to use & why: It’s not either/or Case Studies Key Takeaways

3. Why Analytics & Predictive Coding Matter Disruptive Technologies: Advances that will transform life, business, and the global economy McKinsey Global Institute May 2013

4. Why Analytics & Predictive Coding Matter Disruptive Technologies: Advances that will transform life, business, and the global economy McKinsey Global Institute May 2013

5. Defining eDiscovery Analytics Analyze information: how are documents distributed based on custodians, date ranges, keywords and other critical factors Concept clustering: visualizations of large data sets using concepts Review prioritization: prioritization of specific documents Reporting: monitor review across a variety of metrics, real- time reporting

6. Defining Predictive Coding “E-discovery Taking Predictive Coding Out of the Black Box”, FTI Journal, Nov 2012

7. Predictive Coding eDJ Group 2013 Asian eDiscovery Survey

8. Predictive Coding eDJ Group 2013 Asian eDiscovery Survey Results

10. Discussion & Case Studies

11. Case Study Analytics Review Prioritisation

12. Key Takeaways Akiko Miyake – Director, FTI Jonathan Wong - Associate Freshfields Bruckhaus Deringer Beth Patterson - Applied Legal Technology Director, Allens