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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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