Solution Interim Update for BrainDocs, built for eDiscovery and Compliance Experts

1. The Solution for Experts Looking for a
Competitive Edge
February 2013
ai-one™
Intelligence delivered
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2. Meet Your New Assistant(s)
You train them,
multiply them,
share them.
No overtime,
no benefits,
no complaints.
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3. 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
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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
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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
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6. 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
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7. Customer-Problem-Solution
Customer Problem Solution
Expert legal, financial, Documents must be
research, or read by experts and
compliance they don’t have
professional in solutions they can
enterprise or
professional services initiate, train and
launch quickly and
easily. Experts burn
out reading thousands Personal intelligent
of irrelevant agents can read
documents and quality documents to flag
suffers those needing review,
eliminating wasted
time
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8. 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
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9. 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
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10. 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
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11. Document Types | Processes
• Engagement Letters • High Volume
• Sales/Marketing materials • Operations Documents
• Employment Agreements • Multi-Language
• Non-disclosure Agreements • Compliance
• Option Agreements • Review & Encoding
• Leases • Manuals
• SEC Filings • Surveys
• Email and messaging
• Free text in forms
• Social media
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12. Product Overview
personal
the analytics
conceptual intelligent
fingerprints agents
we
documents b ai-BrainDocs paragraph level
storage concept discovery
databases Intelligence discovered
email
content library
• compliance
• eDiscovery the brain
ai-one
NathanApp
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13. 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
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14. Product Architecture
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15. BrainDocs Workflow
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16. BrainDocs Interface
Simple User Interface-
the agents are trained
and libraries scored for
further analytics and
presentation or export
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17. Agent Creation
Input Fields for
creating concept
Agents
Input Fields for
known “always
include” and “never
include” words
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18. Results – Table View
Export options
Files
ranked by
highest Columns
concept display
score document rank
paragraph and link to the
paragraph with
highest
similarity score
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19. Results – Infographic View
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20. 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
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21. 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%
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22. 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
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23. 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 @ Microsoft .NET Framework 4 Windows 7 64bit (Personal
2.8 GHz Java SE Runtime Environment Version Evaluation Edition only)
7u6 (or higher) Windows Server 2003 64bit
Memory: 8 GB of RAM Apache Tomcat Version 7.0.29 (or Windows Server 2008 64bit
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)
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24. If you’re ready to save time
with
ai-BrainDocs, let’s talk.
Tom Marsh, COO
ai-one inc. Follow us on Twitter @ai_BrainDocs
5711 La Jolla Blvd.
La Jolla, CA 92037
Website www.ai-braindocs.com
Ph: +18585310674
tm@ai-one.com
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