Early Case Assessment -...
Transcript of Early Case Assessment -...
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On-premises vs. hosted ECA: Presenters
Thomas Wisinski, CKO
Haynes and Boone
Carolyn Casey
Sr. Product Marketing Manager , eDiscovery
David Bayer
Director, eDiscovery Product Marketing
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Core Drivers for Enterprise Discovery
Achieve Cost
Predictability
eDiscovery costs too much
Event driven charges are unpredictable
Point solution and multi-vendor
engagements are inefficient
Large matters adversely impact standard
discovery budgets
Be Prepared
Information sources must be mapped
Disposition policies need to be defined and
enforced
Legal holds must be transparently and
consistently applied
Data search procedures must be defensible
Simplify Workflow
Data collection needs to be technology-
based, defensible and non-intrusive
Relevant data should be directly delivered to
early case assessment and review
Inefficiencies of multi-application, multi-
vendor environments must be overcome
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Discovery as critical business process
Know What
You Have®
Enact retention policies
Automate legal holds
Identify and collect data
Leverage early case assessment
Reduce data volumes
Review/produce documents efficiently
AutomateEnsure deployment of retention policies
and litigation holds; reproducible and
defensible processes, and systemic
cost reductions
IntegrateProvide functional interoperability and
seamless, high-quality data movement
across applications
TransformOperationalize governance
capabilities with discovery as a
consistent business process
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Reactive, matter-driven eDiscovery
The Transformation From Traditional eDiscovery…
Information
Management
Identification
Collection
Preservation
Review
Analysis
Processing
PresentationProduction
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To Discovery as Critical Business Process
Proactive discovery predicated on
systematic governance policies and legal holds
Information
Management
Identification
Collection
Preservation
Review
Analysis
Processing
PresentationProduction
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Integrated Discovery Meeting enterprise discovery imperatives head-on
Identify &
Collect
• Endpoint devices
(laptops, desktops)
• Pattern matching
algorithms for
intelligence
• Policy-based
identification and
collection
• Metadata based
repository
Archive
• Email, SharePoint,
network file shares,
additional data types
• Repository of record
• Retention policies
• Litigation holds
• Classification
Early Case
Assessment
• Transparently ingest
data
• Faceted search,
advanced analytics
• Identify and tag
documents
• Develop case
strategy
• Filter and reduce
data volumes
Review
• Load data discovery
applications and/or
3rd party collections
• High productivity,
scalable review
• Advanced analytics
• Multi-project/review
team support
• Automated workflow
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ECA within Enterprise DiscoveryLeveraging information management and governance policies
File Systems
LaptopsDesktops
High Productivity Review
Archive for
Retention Policies,
Legal Holds
Policy-based Data Identification and
Collection
Early Case Assessment
Tape restoration
Compliance Archive
Cloud-based email mgmt.
Server backup
Paper Conversion
www.aiim.org© AIIM 2010
E-Discovery and ERM:
An AIIM Industry Watch Survey conducted during August 2010
Part sponsored by:
www.aiim.org© AIIM 2010
0% 5% 10% 15% 20% 25% 30% 35% 40%
No, and we don't see the need for one in our organization
No, but we know that we should have one
In preparation
Yes, but only covers paper records
Yes, covers paper and electronic records
Yes, covers all active documents, emails and records (paper or electronic)
Legal hold
Do you have a legal hold procedure in place that can be invoked as soon as a
legal action is raised?36% do not
have a hold
procedure,
plus 9% with
policy for paper
only.
Of 55% with
hold for
electronic, only
35% include
ALL active
docs.
N=518
Excl. 96 Don’t knows
www.aiim.org© AIIM 2010
0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50%
We use ad-hoc search across file-shares and email systems
We use the basic search function within our ECM/ERM system
We use an Enterprise Search application, eg, FAST
We use a Google search appliance
We have some e-discovery tools or functions in our ECM/RM system
We are using dedicated e-discovery tools or applications
We outsource/contract our electronic legal discovery
Legal discovery – electronic records
How would you best describe the primary method you use for identification of
electronic records for e-discovery?
N=605
47% using
ad-hoc search
24% use
ECM/RM
system search
7% using
Enterprise
Search
17% have
access to
e-Discovery
tools.
www.aiim.org© AIIM 2010
0% 10% 20% 30% 40% 50% 60%
Search potentially relevant content
Provide early case assessment (ECA)
Secure/hold content against deletion
Copy content to review area
De-dupe and cull
Review
Manage and produce
We don’t have a formal discovery mechanism
Legal discovery – e-Discovery systems
N= 460
Which of the following functions is your discovery mechanism able to provide?
www.aiim.org© AIIM 2010
Legal discovery – e-Discovery systems
N= 330
Excl. 232 Don’t Knows
Which two of the following would you consider to be the biggest potential benefits
of an Early Case Assessment (ECA) capability?
0% 10% 20% 30% 40% 50% 60%
Reducing data volumes to reduce e-discovery costs
Analyzing and projecting the potential costs of a case
Developing case strategy
First-pass review of potential success/failure
Data to brief senior management
Data for PR, M&A and audit activities
Reducing data
volumes is
biggest benefit
of ECA,
then cost
projection and
strategy.
Place image here
INFORMATION MANAGEMENT
eD
isco
very
S
olu
tio
ns
Early
Case Assessment
Inside or Outside the Firewall?
October 2010
Carolyn Casey, Esq.
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Early Case Assessment
Initial inquiry into the Case or Investigation
Interview custodians
First look at the case facts/merits
Risk/Exposure assessment
Find missing custodians
Scope down the responsive data
Estimate and Manage Costs
Strategic business decisions
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Choices for Early Case AssessmentFactors to Consider
Hosted
On-Premises
Hybrid
Cost
Data Control, Confidentiality, Security
Scale/Volume
IT Investment/Impact
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Choices for Early Case AssessmentCost
HostedOn-Premises
Hybrid
On-premises
Buy it outright
Recoup investment quickly
Culling rate
Rent for a known, predictable monthly fee
Integration with on-premises data sources
Hosted
Pay only for what you do - good for small projects
Vendor does processing, exception handling
Fees: ongoing hosting, promotion, user
Easy to move to full review
Distributed users can access
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Choices for Early Case AssessmentData Sensitivity, Control, Security
HostedOn-Premises
Hybrid
On-premises
Strong desire to keep company proprietary, sensitive data
behind firewall
Government military contractors, competitive info.
Data protection/privacy laws, concerns
Risk in transport, leakage, security breach offsite
Hosted
Vendor business built on securing client data
Redundancy, back up, disaster recovery
Secure from prying, curious eyes
Third party data
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Choices for Early Case AssessmentData Volume, Management
HostedOn-Premises
Hybrid
On-premises
Initial look at large cases
Strategic decisions
Cost estimates
Risk assessment
Smaller internal and regulatory investigations
Hosted
Data volume/complexity
Get professional services
Disaster recovery, 24 x 7 support
Data management, repository – trusted partner
Few small matters a year
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Choices for Early Case AssessmentIT Investment/Impact
HostedOn-Premises
Hybrid
On-premises
Initial purchase
Non-intrusive to the environment – no security, storage issues
Easy to install, configure, update, upgrade
Hosted
No investment in appliance/SW
No impact to environment
No maintenance
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Things to Consider
Will on-premises or hosted be lowest cost?
How important is it to keep proprietary, sensitive data on site?
Given the volume of potentially responsive data and number of
matters, investigations each year
Do I want a trusted partner to host/manage the data for me?
Do I want to make one outright purchase or rent and keep
control of the data behind my firewall?
Do I want to own and manage an ECA appliance inside my firewall?
Austin · Dallas · Fort Worth · Houston · Mexico City · New York · Orange County · Richardson · San Antonio · San Jose · Washington DC
Firm-wide eDiscovery to Reduce Costs
and Minimize Risk
Thomas Wisinski
Austin · Dallas · Fort Worth · Houston · Mexico City · New York · Orange County · Richardson · San Antonio · Silicon Valley· Washington DC
About Us
• 530+ Attorneys
• 500+ Staff
• 200+ Software Programs
• 11 Offices
• Most infrastructure centralized
Haynes and Boone, LLP
Austin · Dallas · Fort Worth · Houston · Mexico City · New York · Orange County · Richardson · San Antonio · Silicon Valley· Washington DC
Electronic Discovery Reference Model
Identification
Identification
Collection
Processing
Review
Analysis
Production PresentationInformation
Management
Volume Relevance
ECA Impacted
Phases
Austin · Dallas · Fort Worth · Houston · Mexico City · New York · Orange County · Richardson · San Antonio · Silicon Valley· Washington DC
• The ability to look at a client’s ESI from a 50,000 foot vantage and cull en mass using analytical information about that data
• e.g. easily filter client’s ESI by date, author, subject, concept and other key terms
What is Early Case AssessmentEarly Data Assessment?
Austin · Dallas · Fort Worth · Houston · Mexico City · New York · Orange County · Richardson · San Antonio · Silicon Valley· Washington DC
• 10 key players identified - 3.5Gb ea.
• Total of 35Gb of ESI processed by H&B ($x/Gb = $35x) resulting in 112,000 items for review (60% de-duplication and other filtering)
• Attorneys review 1,500 items per day (About 75 atty/days) = $180,000 (attorney review time)
Comparison using eVantage
Austin · Dallas · Fort Worth · Houston · Mexico City · New York · Orange County · Richardson · San Antonio · Silicon Valley· Washington DC
• 10 key players identified - 3.5Gb ea.
• Total of 35Gb of ESI processed by vendor ($4x/Gb = $140x) resulting in 140,000 items for review (50% de-duplication and other filtering)
• Attorneys review 1,500 items per day (About 94 atty/days) = $225,600 (attorney review time)
Comparison using other
Austin · Dallas · Fort Worth · Houston · Mexico City · New York · Orange County · Richardson · San Antonio · Silicon Valley· Washington DC
Cost savings:
• $180,000 v. $225,600 – Attorney Time
• $35x v. $140x
• Standardized output = ?
• Front-end reporting = ?
• Delivering clean data = ?
• Understanding the makeup of your data…
priceless
Time & Money
Austin · Dallas · Fort Worth · Houston · Mexico City · New York · Orange County · Richardson · San Antonio · Silicon Valley· Washington DC
Reducing Cost
• Gather low hanging fruit – collect as you learn
• Plenty of solid ways to self collect
• Document, document, document
• Filter ESI by known outside counsel
• Filter ESI by set of privilege terms
• Filter ESI by key domains/players
Austin · Dallas · Fort Worth · Houston · Mexico City · New York · Orange County · Richardson · San Antonio · Silicon Valley· Washington DC
Reducing Risk
Examples:
• Client filters data by file type
• Client uses insufficient tool to search data
• Provides auditing capability
• Provides attorneys with “live” searching capability – kick the tires
Austin · Dallas · Fort Worth · Houston · Mexico City · New York · Orange County · Richardson · San Antonio · Silicon Valley· Washington DC
• Internal Audits
• Investigations
• Prep for meet and confer - 26(f)
• Compliance sampling
Other Uses
Austin · Dallas · Fort Worth · Houston · Mexico City · New York · Orange County · Richardson · San Antonio · Silicon Valley· Washington DC
Things you can learn
• Different file types (oddities/problems)
• Problem documents (databases)
• Various sizes of documents
• Holes in collections
• eMail domains to/from
Austin · Dallas · Fort Worth · Houston · Mexico City · New York · Orange County · Richardson · San Antonio · Silicon Valley· Washington DC
What we hope to accomplish
• Quicker response time
• Review time - reductions in data
• Cost savings to clients
• Standardized process
• Quick peek
• Insight!!!
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Thank you!
Thomas Wisinski, CKO
Carolyn Casey
David Bayer