ai-BrainDocs Solution Update Feb 2013
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© ai-one inc. 2013 ai-one
Intelligence deliveredai-one™
The Solution for Experts Looking for a
Competitive Edge
February 2013
© ai-one inc. 2013 ai-one
Meet Your New Assistant(s)
You train them,
multiply them,
share them.
No overtime,
no benefits,
no complaints.
© ai-one inc. 2013 ai-one
Quick Facts
• ai-BrainDocs helps you build personal intelligent agents for finding concepts within documents in any language.
• Customers are legal, financial and compliance professionals
• Markets are multi-billion dollar eDiscovery and eGRCM(Governance, Risk & Compliance)
• First customer shipped
• Early Adopter Version Available Now
© ai-one inc. 2013 ai-one
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. 2013 ai-one
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. 2013 ai-one
Why you need a BrainDocs Agent
• We are an extension of YOU, the expert, not a black box replacement
• We improve efficiency of manual but routine processes not addressed by other solutions
• Built for lawyers, researchers, and analysts… not geeks
• Execute your first project immediately on startup
• Our technology engine is natively faster & more accurate
© ai-one inc. 2013 ai-one
Customer-Problem-Solution
Customer
Expert legal, financial, research, or compliance professional in enterprise or professional services
Solution
Personal intelligent agents can read documents to flag those needing review, eliminating wasted time
Problem
Documents must be read by experts and they don’t have solutions they can initiate, train and launch quickly and easily. Experts burn out reading thousands of irrelevant documents and quality suffers
© ai-one inc. 2013 ai-one
Everyone has an eDiscovery Problem
• On average, employees generate 1 gigabyte of data per year.
• If the allegations of a lawsuit involve 20 employees over a 10 year time period, you will need to collect and review for production to the adverse party 200 gigabytes of data…reduced to 150 gigabytes.
• If it is assumed that each gigabyte contains 50,000 pages, there will be 7,500,000 pages for attorney review.
• The claimed average review rate by law firms is 200 pages per hour; which breaks down to 37,500 hours of attorney time for the review.
• If the market value for contract lawyers is $75 per hour the review will cost $2,812,500.
source: A Kershaw Attorneys & Consultants
© ai-one inc. 2013 ai-one
Cost Savings are Everyday
• You don’t need a lawsuit to save money with BrainDocs, use it everyday to reduce your workload
• Our testing shows we can reduce documents requiring expert review by as much as 50%
• Value prop – for every $100,000 expert that spends at least 50% of their time reviewing documents, that’s $25,000 wasted on irrelevant documents… so ROI on BrainDocs is less than 60 days
“The human review phase of eDiscovery is estimated to account for
up to 80% of the total cost” - according to IDC 2010
© ai-one inc. 2013 ai-one
Benefits for User & Enterprise
• Productivity- review more documents faster
• Timeliness- faster project turnaround
• Tighter compliance- risk mitigation
• Relevant document accuracy
• Higher job satisfaction
• Cost effective on small projects
• Perfect for eDiscovery service firms, enterprises and research organizations
© ai-one inc. 2013 ai-one
Document Types | Processes
• Engagement Letters
• Sales/Marketing materials
• Employment Agreements
• Non-disclosure Agreements
• Option Agreements
• Leases
• SEC Filings
• Email and messaging
• Free text in forms
• Social media
• High Volume
• Operations Documents
• Multi-Language
• Compliance
• Review & Encoding
• Manuals
• Surveys
© ai-one inc. 2013 ai-one
paragraph level
concept discovery
ai-one
NathanApp
conceptual
fingerprints
personal
intelligent
agents
the brain
the analytics
ai-BrainDocsIntelligence discovered
content library
• compliance
• eDiscovery
Product Overview
we
b
storage
databases
documents
© ai-one inc. 2013 ai-one
Product Features
1. Documents to be analyzed are batched and imported into ai-BrainDocs case libraries (similar process to indexing), only once.
2. Agent(s) is created by user loading example paragraphs for concept “fingerprint”
3. User directs Agent(s) to analyze a library to rank by concept similarity score
4. User evaluates performance of Agent and continues teaching/testing or saves for production
5. Workflow queue is created and tagged documents are processed
6. User (Admin) customizable output with Excel or BI tools
7. Fully customizable UI/UX and database for workflow integration
© ai-one inc. 2013 ai-one
Product Architecture
© ai-one inc. 2013 ai-one
BrainDocs Workflow
© ai-one inc. 2013 ai-one
BrainDocs Interface
Simple User Interface-
the agents are trained
and libraries scored for
further analytics and
presentation or export
© ai-one inc. 2013 ai-one
Agent Creation
Input Fields for
creating concept
Agents
Input Fields for
known “always
include” and “never
include” words
© ai-one inc. 2013 ai-one
Results – Table View
Files
ranked by
highest
concept
score
paragraph
Columns
display
document rank
and link to the
paragraph with
highest
similarity score
Export options
© ai-one inc. 2013 ai-one
Results – Infographic View
© ai-one inc. 2013 ai-one
Teach & Test Agents Quickly
• Charts show teaching an agent starting with one example (sparse) and improving as more (14) examples are added to the agent
• 200 (20 page) sales contracts were used in this case
• Scores in “rich” case shows known target docs (black bars) isolated at top of list and no false negatives below 75%
• Dynamic confidence color bands show user the improved accuracy as concept definition is enriched
© ai-one inc. 2013 ai-one
The Money is in the Red
Keyword and NLP fails with positives (black bars) throughout- you must read every document
BrainDocs Agent shows known target docs (black bars) isolated at top of list and no false negatives below 75%
© ai-one inc. 2013 ai-one
Key Metrics
• Users create their own agents in less than an hour, needs less than 20 examples for training
• Agents search for concepts in emails at rate of 3.5 million per hour
• Increases productivity by at least 50%
• Next release will Fingerprint a library at the rate of
150GB per day
• Server Edition is $4,950 per year
© ai-one inc. 2013 ai-one
BrainDocs Server Edition
Features: • Concurrent Users
• Batch Processing of Content Library: 1• Agent Creation: 1• Concept Similarity Analysis: 5
• Initial Fingerprinting time for new documents: approx 100k per day (per Enron email test)• Max Number of Documents in Content Library: No limit• Max Number of Agents: No Limits• Document Types: Microsoft Word, Adobe PDF (readable), Plain Text
Hardware Software Operating System
Processor: 2 x Intel Xeon CPU @
2.8 GHz
Memory: 8 GB of RAM
Storage: ~ 30 GB
• OS: ~15 GB
• Application & Server: ~ 5 GB
• Remaining: ~ 10 GB to store
content library (or higher if
necessary)
Microsoft .NET Framework 4
Java SE Runtime Environment Version
7u6 (or higher)
Apache Tomcat Version 7.0.29 (or
higher)
Web Browser:
• Google Chrome v21 (or higher)
• Mozilla Firefox v15 (or higher)
• Internet Explorer v9 (or higher)
Windows 7 64bit (Personal
Evaluation Edition only)
Windows Server 2003 64bit
Windows Server 2008 64bit
© ai-one inc. 2013 ai-one
If you’re ready to save time with
ai-BrainDocs, let’s talk.
Tom Marsh, COO
ai-one inc. 5711 La Jolla Blvd.
La Jolla, CA 92037
Ph: +18585310674
Follow us on Twitter @ai_BrainDocs
Website www.ai-braindocs.com