ai-BrainDocs Solution Update Feb 2013

© ai-one inc. 2013 ai-one

Intelligence deliveredai-one™

The Solution for Experts Looking for a

Competitive Edge

February 2013


Meet Your New Assistant(s)

You train them,

multiply them,

share them.

No overtime,

no benefits,

no complaints.


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


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


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


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


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


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


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


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


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


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

email

databases

documents


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


Product Architecture


BrainDocs Workflow


BrainDocs Interface

Simple User Interface-

the agents are trained

and libraries scored for

further analytics and

presentation or export


Agent Creation

Input Fields for

creating concept

Agents

Input Fields for

known “always

include” and “never

include” words


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


Results – Infographic View


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


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%


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


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


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

[email protected]

Follow us on Twitter @ai_BrainDocs

Website www.ai-braindocs.com

http://www.ai-braindocs.com/



Technology

ai-BrainDocs Solution Update Feb 2013