1. How AutoIndexing Works The Steps before BlackCat Data Visualization13
YEARS
11/2000 – 11/2013
How AutoIndexing Works The Steps before BlackCat Data Visualization
January, 2014
Confidential

2. Who We Serve
Corporate Legal Departments with complex document/data/content management needs
Litigation
Compliance
Records
Information Governance
Government Agencies with limited resources for document/data/content monitoring, analysis, management
Investigations
Law firms and Service Providers who support these entities

3. What We Do
Utilize technology to understand and interpret documents (or files, or records, or streamed text, etc.)
Probabilistic Hierarchical Context-Free Grammars
Statistical Pattern-Matching
Tag documents with as many attributes and indices as possible
Analyze those tags, along with text, and other clues, to provide a disposition on documents
Report the results in a variety of ways.
This presentation centers around Tagging
Ultimately, Valora is a Consulting Service Provider, utilizing our own, highly customized tools to deliver excellent, timely and highly cost-effective work product to our clients.

4. Many Levels of Analytics & Data Mining
Multiple Documents
Character @
Word
Covenant
Phrase
Attorney-client privilege
Line
SKU $3.41 ea.
Paragraph
Page
Document
Cross-Population
Sub-population
Population

5. Valora’s Proprietary Technology
REPORTING
BlackCat, Relativity, .CSV …
ANALYSIS/RULES
Year Total, Hot Doc, Priv…
INDEXING/TAGGING
Date, Author, Patent # …
Valora’s view of document review process
Index
Analysis
Reporting
Valora’s underlying technology
Developed in 2001
Used in 1,000’s of projects
Applied against millions of pages/documents over the years
Works off extracted text or OCR
Pattern Matching Algorithms
Automated determination of document attributes (DNA)
Doc Type
Doc Date
Doc Sentiment (neutral, hostile etc.)
Doc Author
PowerHouse

6. INDEXING/TAGGING DocType = Patent Application Date = 10/18/2007
Date Format = US
DocType = Patent Application
Date = 10/18/2007
Author = Patent Authors, Author City, Author Country
Assignee = RIM
Tone = Neutral to slightly positive
Embedded Graphic with Title
Other Data Capturable Data Elements:
Patent Number
Filing Date
Key Phrases & Terms
Managing PTO
Implied/Attached Docs
Bar Code Present
And many more . . .

7. AutoCoding Defined
AutoCoding is the application of software and technique to capture information about a document.
Bibliographic Fields: Author, Recipient, CC/BCC, Date, Subject/Title, Document Type.
Characteristic Fields: Draft, Confidential, Foreign Language, Pages Missing, Duplicate/NearDuplicate, Conversation Thread
Many flavors of AutoCoding
All use software to some degree
All use OCR and extracted text from e-docs
Generally accepted that AutoCoding is faster and lower cost than manual coding, but sometimes lower quality

8. How AutoCoding Works PowerHouse
AutoIndexing
AutoBusinessRules
Analytics
Database Prep
Data is extracted from each document into a database table
Docs enter the system as extracted or OCR’ed text

9. Litigation Document Review Manual
Indexing/Tagging
ANALYSIS/RULES
Litigation Document Review Manual
Determining Responsiveness
The document should be marked responsive if any of the following conditions are present:
Mentions or discusses the specific protocol for handling simultaneous voice and data actions
Is a design document or graphic that shows the specific protocol for handling simultaneous voice and data actions
Discusses or is related to patent ‘009
Mentions Apple Inc. or Apple Computers, Inc. or is a communication from/to anyone at Apple Computer, Inc., or apple.com.
And so on…
Rule: Responsive for Protocol Discussion
When: [FullText] contains any of <Voice protocol key phrases 12> and [FullText] contains any of <Data protocol key phrases 25> and [DocType] is not any of [Brochure, Press Release, Website], ...
Rule: Responsive for Patent ‘009
When: Any document in the Attachment Family matches: [FullText] contains any of <Patent '009 key phrase list 4>, or Parent of Attachment Family matches: Any of [Author, Recipient, CCs] contains any of <Patent '009 experts contact list 23>, …
Rule: Responsive for Apple When: [FullText] contains (fuzzy match) any of <Apple key phrase list 7>, or Any of [Authors, Recipients, CCs] contains any of <Apple contact list 15>, or [Author] matches …
-7-

10. What would you like to know?
Analysis/Rules
REPORTING
Numerous Reporting Options
Hosting, Early Case Assessment & DataVisualization
DataVisualization & Hosting in BlackCatTM
Hosting in other industry platforms
Load File Import
Opticon/LFP, Summation DII
.CSV, other delimited file
Loading to proprietary platforms
Render to File
PDF, Excel, HTML
Comprehensive Report
What would you like to know?

11. Popular Valora Services
AutoUnitization
Ability to distinguish the beginning & end of documents, as well as determine which documents incorporate other documents as attachments
AutoCoding
Identify and label documents by type (balance sheet, tax form, memo, etc.), relevant people (authors, recipients, cc/bcc), date and subject/title.
AutoReview
Identify and labeling documents by groupings (dupes/near dupes, conversation threads, issues/clustering) and disposition (responsive, privileged, “hot,” etc.)
AutoRedaction
Ability to identify & markup documents to “black out” select information (such as PII – private identification information, patient data or privileged information)
AutoTranslation
Automatic translation of non-English documents to English text. Supports dozens of originating languages.
DataVisualization
Presentation of data in intuitive, graphical ways with easy navigation, understanding and manipulation of document subsets. Often used for Early Case Assessment.
Hosting & Database Creation
Hosting of pre- or post-processed documents and files in Valora’s BlackCat database or others (iConect, Relativity, etc.).
Electronic File Processing (EFP)
File Conversion to TIF/PDF format, text and metadata extraction, de-NISTing, cross-custodian de-duplication, filtering/culling, analytics
OCR
Optical Character Recognition for converting images to searchable text
NearDuplicateDetection
Identify documents that are highly similar, if not identical across custodians and the entire population. Includes cross-correlation of paper & electronic documents
ThreadGrouping
Join separated conversation threads into a consistent stream from start to finish
Scanning
Image conversion for paper documents into electronic image format (TIF, PDF, JPEG, etc.)
AutoBusinessRules
Identify and label documents by workflow treatment, retention plans, compliance audit or other groupings.
Professional Services
Options for Project Management, Technical data/file manipulation, Subject Matter Expertise, Resources & Worfklow Design & Management
Most services available as Auto, Auto+Manual “Hybrid,” and Manual-Only.
Call for specifics.

12. Don’t take our word for it, take theirs…

13. Valora Technologies, Inc.
Thank You!
For More Information:
Valora Technologies, Inc.
101 Great Road, Suite 220
Bedford, MA 01730