Christina Wojcik, VP Legal Services, Seal Software Steven Toole, VP Marketing, Content Analyst Company Jason Voss, Senior Product Manager, TCDi

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1 FEBRUARY 3 5, 2015 / THE HILTON NEW YORK ML1: Machine Learning Powered Rapid Insight into Big Content: Discovery from Contracts to Patents to Litigation Panelists Christina Wojcik, VP Legal Services, Seal Software Steven Toole, VP Marketing, Content Analyst Company Jason Voss, Senior Product Manager, TCDi Moderator: Ari Kaplan, Principal, Ari Kaplan Advisors

2 Seal Software FEBRUARY 3 5, 2015 / THE HILTON NEW YORK Christina Wojcik, Esq. VP, Legal Services

3 Why Machine Learning is Necessary for Contract Management Catalysts for Insight Disparate Document Repositories CLM Document Mgmt File Servers Share Drives Cabinets

4 Why Machine Learning is Necessary for Contract Management Catalysts Ad for Hoc Insight Market Events Disparate Document Repositories CLM Document Mgmt File Servers Share Drives Cabinets

5 Artificial Intelligence Creates Real-time Learning Result Review & Update Analyze Teach Set-up & Process Search & Find

6 Seal Software FEBRUARY 3 5, 2015 / THE HILTON NEW YORK Steven Toole VP, Marketing

7 Content Analyst Company At-A-Glance Game-Changing, Machine Learning Software Engine (CAAT ) Revolutionary, patented, proven and scalable de facto standard in ediscovery Analytics engine powering dozens of legal industry products 5 Partner Products in Gartner Magic Quadrant

8 CAAT Legal Market Partners (partial)

9 CAAT Capabilities Throughout EDRM Clustering Concept Search Categorization ECA Preservation Processing Culling Near Dupe ID Threading Auto Summarization Concept Highlighting Similar Terms Information Governance Identification Review Production Presentation Collection Analysis VOLUME Categorization Electronic Discovery Reference Model RELEVANCE

10 The Machine Learning Difference No dictionaries or word lists Language agnostic Learns concepts and relationships from the content Find similar with whole documents or sections In-memory high performance Best Practices with Smart Analytics

11 Machine Learning in Patent Research Problems: Patents are large documents Arcane wording keywords do not match Prior Patent Art is purposely vague Solution: Machine learning uses entire document as query Instant context reveals related terminology Clustering identifies conceptually related patents

12 Machine Learning in Patent Research Example Keyword search: 100k results of 9M patents Keyword search for headsets yields hearing aids Conceptual search negates need for search term precision Conceptual search cut false positives Used competitors collateral to find conceptually similar patents

13 Machine Learning in Patent Research Perform about 1,000 patent searches per year using analysts with bachelor s degrees -- much less expensive than attorneys, performing the search in a fraction of the time (seconds vs. days) Machine-learning-powered conceptual similarity is cornerstone of how they search patents.

14 Seal Software FEBRUARY 3 5, 2015 / THE HILTON NEW YORK Jason Voss Sr. Product Manager

15 TCDI Company Focus TCDI, a Continuous Process Improvement Company, was originally founded in northern Virginia in 1988 to develop complex database applications for the US Federal Government. For 26 years, TCDI foster Partnerships with Serial Litigants. Approach All-in/Partnership Machine Learning Embedded Analytics powered by CAAT Continuous Process Improvement Lean Six Sigma We do big well Big Tobacco, Pharma, Insurance High Security, High Volume Data SOC II Data Center CVSix Flexible Streamlining Complex Matters Proprietary Application allows for direct access for custom development Data organization

16 Machine Learning in ediscovery TCDI employs many traditional uses of CAAT Powered Machine Learning Analytics that are embedded into CVSix as part of a normal workflow. Complex client demands have uncovered specialized benefits in the utilization of Analytics to organize vast amounts of data. Joint Defense Repositories Risk Mitigation Defense/Work Product Intelligence Keyword Analytics Production QC

17 Seal Software FEBRUARY 3 5, 2015 / THE HILTON NEW YORK Q&A / Discussion Ari Kaplan Principal, Ari Kaplan Advisors