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Collection – Getting started
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Introduction to the marketplace
Who are the vendors
What are the products
What can a provider do for you
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The EDRM Model
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Guide(s) to eDisclosure
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The UK eDisclosure Marketplace
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Consultancy Firms (Large)
Consultancy Firms (Medium)
Software Specific
Solutions / Bureaus
Forensic Services
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Litigation Support Tools
FTK
Guidance EnCase
Clearwell
Nuix
Digital Reef
IPRO
Index Engines
LAW
Kofax
Home Brew
Relativity
Ringtail
Equivio Relevance
Case Logistix
Concordance
ICONECT
Merrill Lextranet
Opus 2 – Magnum
Merrill Systems
AccessData
Consilio
DocuMatrix
eTrium
Integreon Tools
Ontrack Advanceview & Inview
Recommind Accelerate Suite
Stroz software
Viewpoint
ZyLAB Systems
PDF Bundling Software (e.g. Zylpha)
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Allvision Computing
Processing and Reducing
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Coding, clustering, email threading, key
word filters
De-duplication – concept and reality
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A mixture of software
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The following slides are based on
software / screenshots taken from
a large number of vendors and
products
If you attempted to cobble this lot
together you'd probably end up
like this guy
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Technology makes a
good servant, but is
a bad master.
Processing
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Basic Workflow
Initial Volume
Remove unwanted files
Filter
( CAD/JPEG/.exe files)
Process
Remove unwanted data
Filter
( Amazon/Facebook/Admin)
Refine
Who / What / When
Filter
( Custodians/Keywords/Dates)
Review
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What have I got?
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Language Identification
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Keyword Analysis
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De-Duplication
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The premise - Each ESI item is finger-printed
and then all the fingerprints are compared,
any duplicates are removed.
Reality – Can be technical issues, particularly
with using time to create the algorithm.
Hash Algorithm
Work with your supplier to understand the
issues.
X
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Hash Algorithm
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The trouble with Metadata
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In House Litigation support department
passed data and images.
Electronic information collected by
either client or external vendor.
ESI turned into Tiffs for disclosure
exchange.
Only images exchanged, no OCR or
metadata.
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The trouble with Metadata
March 9, 2009
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Basic Workflow
Initial Volume
Remove unwanted files
Filter
( CAD/JPEG/.exe files)
Process
Remove unwanted data
Filter
( Amazon/Facebook/Admin)
Refine
Who / What / When
Filter
( Custodians/Keywords/Dates)
Review
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Unwanted Files - 1
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Unwanted Files - 2
Remove unwanted
file types
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Unwanted Files - 3
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Unwanted Data
Select the type of
email we want to
look at
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Case Focus
Select the
people we want
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Basic Workflow
Initial Volume (20,696)
Remove unwanted files
Filter
( CAD/JPEG/.exe files)
Process (11,337)
Remove unwanted data
Filter
( Amazon/Facebook/Admin)
Refine (5,677)
Who / What / When
Filter
( Custodians/Keywords/Dates)
Review (245)
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Additional Tools
Filter Images
Visualise Emails
Assess Volumes
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Clustering – An Overview
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Clustering
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Client had 33,000 documents to review
(about 330 lever arch files).
Average review = 200 docs/day
33,000 divide by 200 = 165 review days
Paralegal @ £100/hour = £700/day
Rough review cost = £115,000
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Clusters
33,000 documents reduced to 11,000
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Clustering Costs
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33,000 documents = 100,000 pages
15p/page to scan & OCR = £15,000
Process and host the data for 3 months =
£5,000
11,000 documents = 55 review days =
£38,500
Total cost = £58,500
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Clustering Comparison
Without
Time (Days)
165
With
55
Cost £115,000 £58,000
A third of the time at half the cost
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Review and Analysis
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Searching / Keywords
Hit Highlighting
Review logic / workflow
Email threads
Email Visualisation
Near Duplicates
Auto translation
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Initial Review
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Detailed Review
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General Search (Key Words)
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Hit Highlighting
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Review Logic Rules
Before you can put the document back into the main
store check to see it has been coded as:
1) It is Relevant AND is one of 3 states:
a) If Fully Privileged, all the correct coding is
there
b) If Part Privileged, it has a redaction as well
as all the correct coding.
c) Is set as Not Privileged.
2) OR It is not Relevant AND does not have any
Privileged status set.
3) OR has no Relevance status as it has been
categorised as a kind of ESI we wish to filter out.
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Email Threads
Unknown Messages are where the system
has identified an email that is part of the
thread but the native file is not present
(missing or deleted). You can still read the
content of these emails within the inclusive
email
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Green Emails with an orange star
are ‘inclusives’ and contain all of
the contents of the previous emails.
Attachments are also green
meaning that you should review
them too.
Email Visualisation
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Near Duplicates
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Audio Searching
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Automatic Translation
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Exchange and Inspection - Data
Delivery
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Practical differences between Native, PDF
and Image renditions of a document
Effect of redactions upon format of
exchange
Cost implications / rolling production /
media
Listing of Privileged documents
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Practical Differences
Images (with OCR)
Unitise images
Cluster
Objective Code
Subjective Code
Keyword Search
Redact
Hit Highlighting
PDF's (with Text)
Cluster
Objective Code
Subjective Code
Keyword Search
Redact
Hit Highlighting
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Native
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De-NIST
Clustering
Filter by type,
date & custodian
Email analysis
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CAR
Audio search
Social media
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Email threads
Email Visualisation
Near Duplicates
Auto translation
Native Documents – The Issues
Page: 1 of 32
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Exchange and Inspection - Data
Delivery
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Effect of redactions upon format of
exchange
Cost implications / rolling production /
media
Listing of Privileged documents
Make sure your software lets you separate out a Privileged attachment
from the rest of the email "family". Recent versions of some packages
allow this, older ones don't, check with your vendor.
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Presentation
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Major Enquiry Software
PDF Bundles
On-line Systems
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PDF Bundles
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Presentation Systems
Audio
Transcripts
Group / Individual messages
Build a trial bundle
Annotations
Individual
Highlighting
Links created
on loading
Documents
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Individual
Comments
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