Ai Brain Docs Solution Oct 2012


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Ai Brain Docs Solution Oct 2012

  1. 1. BETA Faster Document Review for Legal Professionals with a Personal Intelligent Agent October 2012 ai-one™ Intelligence delivered© ai-one inc. 2012
  2. 2. Meet Your New Assistant(s) You train them, multiply them, share them. No overtime, no benefits, no complaints.© ai-one inc. 2012
  3. 3. Quick Facts • ai-BrainDocs is a personal intelligent agent (software bot) for finding concepts within documents of any language. • Customers are legal, financial and compliance professionals • Markets include multi-billion dollar eDiscovery and eGRCM (Governance, Risk & Compliance) • First customer shipped • Early Adopter Version Released October 2012 • Personal (cloud) Version Launch December© ai-one inc. 2012
  4. 4. Big Idea Professionals armed with a personal intelligent agents they train to identify relevant concepts can save companies, legal firms and government agencies massive amounts of time and money. “digital data growth is explosive and digital data is the stuff of business and business disputes” - Gartner Magic Quadrant for eDiscovery May 2012© ai-one inc. 2012
  5. 5. What we do different Our solution is the ONLY one built with an ai-one “brain” (uses ai-Fingerprint technology) that addresses weaknesses of existing language tools, is language agnostic, works at the paragraph (concept) level and derives relevance from the context of use within the document. “Electronically stored information contains human language, which challenges computer search tools. These challenges lie in the ambiguity inherent in human language and tendency of people within networks to invent their own words or communicate in code.” - Best Practices Commentary on the Uses of Search and Information Retrieval Methods in eDiscovery, Sedona Conference© ai-one inc. 2012
  6. 6. Customer-Problem-Solution Customer Problem Solution Expert legal, Documents must be financial or read by experts and compliance they don’t have professional in solutions they can enterprise or professional initiate, train and services firm launch quickly and easily. Experts burn Personal intelligent out reading agent can read thousands of similar documents to flag documents and those needing quality suffers review by the professional user© ai-one inc. 2012
  7. 7. Solution Benefits • Relevant document accuracy • Timeliness- faster project turnaround • Productivity- review more documents faster • Higher job satisfaction • Cost effective on small projects • Tighter compliance- risk mitigation • Integration with other eDiscovery processes© ai-one inc. 2012
  8. 8. Document Types | Processes • Engagement Letters • High Volume • Sales/Marketing materials • Operations Documents • PR/8-K events • Multi-Language (later • Employment Agreements release) • Non-disclosure Agreements • Compliance • Option Agreements • Review & Encoding • Leases • Manuals • SEC Filings • Surveys • Email and messaging • Free text in forms • Social media© ai-one inc. 2012
  9. 9. Product Overview conceptual personal fingerprints intelligent the analytics agents we paragraph level documents b storage ai-BrainDocs concept discovery databases Intelligence discovered email content library • compliance • eDiscovery the brain ai-one NathanApp© ai-one inc. 2012
  10. 10. Product Features1. Agent(s) defining the concept are created by user loading example paragraphs for concept “fingerprint”2. Documents to be analyzed are batched and imported into ai- BrainDocs case libraries (similar process to indexing).3. User directs Agent(s) to analyze a library to rank by concept similarity score4. User evaluates performance of Agent and continues training or saves for production5. Workflow queue is created and tagged documents are processed6. User (Admin) customizable output© ai-one inc. 2012
  11. 11. Prototype Screen Shot Export optionsInput Fields forcreating conceptAgents Columns display document rank and link to the paragraph withInput Fields for highestknown “always Files ranked by similarity scoreinclude” and “never highest conceptinclude” words score paragraph © ai-one inc. 2012
  12. 12. Quick, Iterative Train & Test Cycle • Test runs measured performance against sparse vs rich concept definitions • 200 documents per test • Docs were sales contracts • Scores in “rich” case shows known target docs (black bars) isolated at top of list • Dynamic confidence color bands show user the improved accuracy as concept definition is enriched© ai-one inc. 2012
  13. 13. Early Adopter (beta) Solution Features: • Concurrent Users – Batch Processing of Content Library: 1 – Agent Creation: 5 – Concept Similarity Analysis: 5 • Max Number of Documents in Content Library: 1,000 per batch • Max Number of Agents: No Limits • Document Types: Microsoft Word, Adobe PDF (readable), Plain Text Hardware Software Operating System Processor: 1 x Intel Xeon CPU @ Microsoft .NET Framework 4 Windows 7 64bit 2.8 GHz Java SE Runtime Environment Version Windows Server 2003 64bit 7u6 (or higher) Windows Server 2008 64bit Memory: 8 GB of RAM Apache Tomcat Version 7.0.29 (or higher) Storage: ~ 30 GB Web Browser: • OS: ~15 GB • Google Chrome v21 (or higher) • Application & Server: ~ 5 GB • Mozilla Firefox v15 (or higher) • Remaining: ~ 10 GB to store • Internet Explorer v9 (or higher) content library (or higher if necessary)© ai-one inc. 2012
  14. 14. If you’re an early adopter of new technology and want to work with us to integrate, trial and test ai- BrainDocs, let’s talk. Ready now? Give me a call to setup a demo.Tom Marsh, COOai-one inc. Follow us on Twitter @ai_BrainDocs5711 La Jolla Blvd.,Bird Rock Website Jolla, CA 92037Ph:© ai-one inc. 2012