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Collection – Getting started 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

Guide(s) to eDisclosure

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The UK eDisclosure Marketplace

Consultancy Firms (Large) Consultancy Firms (Medium) Software Specific Solutions / Bureaus Forensic Services

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Litigation Support ToolsFTKGuidance EnCase

ClearwellNuixDigital ReefIPRO

Index EnginesLAWKofaxHome Brew

RelativityRingtailEquivio RelevanceCase LogistixConcordanceICONECTMerrill Lextranet

AccessDataConsilioDocuMatrixeTriumIntegreon ToolsOntrack Advanceview & InviewRecommind Accelerate SuiteStroz softwareViewpointZyLAB Systems

Opus 2 – MagnumMerrill Systems

PDF Bundling Software (e.g. Zylpha)

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Processing and Reducing 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

Technology makes a good

servant, but is a bad master.

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Processing

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Basic WorkflowInitial Volume

Process

Refine

Review

FilterRemove unwanted files ( CAD/JPEG/.exe files)

Remove unwanted data ( Amazon/Facebook/Admin)Filter

Who / What / When ( Custodians/Keywords/Dates)Filter

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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 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. Work with your supplier to understand the issues.

Hash Algorithm

Hash Algorithm

üX

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The trouble with Metadata

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 WorkflowInitial Volume

Process

Refine

Review

FilterRemove unwanted files ( CAD/JPEG/.exe files)

Remove unwanted data ( Amazon/Facebook/Admin)Filter

Who / What / When ( Custodians/Keywords/Dates)Filter

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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 WorkflowInitial Volume (20,696)

Process (11,337)

Refine (5,677)

Review (245)

FilterRemove unwanted files ( CAD/JPEG/.exe files)

Remove unwanted data ( Amazon/Facebook/Admin)Filter

Who / What / When ( Custodians/Keywords/Dates)Filter

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Additional ToolsFilter Images

Visualise Emails Assess Volumes

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Clustering – An Overview

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Clustering 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 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

£58,000£115,00055165Time (Days)

Cost

Without With

A third of the time at half the cost

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Review and Analysis 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 RulesBefore 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 thereb) 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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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

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 Threads

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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

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 documentsAllvision Computing

Practical Differences

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Images (with OCR) PDF's (with Text) Native

Unitise imagesCluster

Objective CodeSubjective CodeKeyword SearchRedact

+Email threadsEmail VisualisationNear DuplicatesAuto translation

Hit Highlighting

+CARAudio searchSocial media

Cluster+De-NISTClusteringFilter by type, date & custodianEmail analysis

Objective CodeSubjective CodeKeyword SearchRedact

Hit Highlighting

Native Documents – The Issues

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Exchange and Inspection - Data Delivery

Effect of redactions upon format of exchange

Cost implications / rolling production / media

Listing of Privileged documents

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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

Major Enquiry Software PDF Bundles On-line Systems

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PDF Bundles

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Presentation Systems

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Build a trial bundle

DocumentsLinks created

on loading

IndividualHighlighting

IndividualComments

Group / Individual messages

Transcripts

Annotations

Audio

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