ZEROING IN
DATA TARGETING IN EDISCOVERY
TO REDUCE VOLUMES AND COSTS
WELCOME
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Today’s topic and presenters
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SPEAKERS
Matthew Verga – Director, eDiscovery Strategy
Andreas Mueller – Senior Director, eDiscovery
TODAY’S TOPICS
A Data Targeting Perspective
Data Targeting
- Before Litigation - During Collection - During Processing - During ECA
Strategy and Negotiation
Conclusion
- Key Takeaways
A DATA TARGETING PERSPECTIVE
Why does this matter?
- Because of the high and ever-increasing cost of discovery
2012 Rand Corporation Study:
- Median cost of eDiscovery production was $1.8 million
- Document review accounted for $0.73 of every $1.00 spent
- “…the relationship between final costs and ESI volume is essentially a directly proportional one.”
A DATA TARGETING PERSPECTIVE
What do we mean by a data targeting perspective?
- Elevating technical considerations - Elevating strategic considerations - At each step:
o What are the technically feasible options o Strategic value of culling versus retention
o Interplay between technical, strategic, and legal
It’s not about knowing it all
DATA TARGETING BEFORE LITIGATION
Don’t wait for litigation to begin
Proactive steps can be taken to reduce volumes and costs
First, retention and remediation can be addressed
- Critical first step
- Clear policies and procedures - Categories and retention periods - Limiting duplicative retention - Remediation to compliance
DATA TARGETING BEFORE LITIGATION
Second, proactive data mapping can be completed
Benefits of pre-litigation data mapping Elements of a useful data map
- Potentially relevant data stores - What records for what time periods - Searching and extraction options - Responsible individuals/roles - Employee-issued devices in use
DATA TARGETING DURING COLLECTION
Reactive data mapping
Selecting custodians and sources
Custodian interviews
- Importance
- Paper vs. electronic options
Physical vs. logical acquisition
DATA TARGETING DURING COLLECTION
Selective Restoration
- Forensic image and content reports
o Usefulness o Limitations
- Selection by directory, group or mailbox
o Email o Loose files
- Back-up tape options
o Options and current technology
- Selection by date
o Limitations and risks
– File type filtering
DATA TARGETING DURING PROCESSING
Inclusion vs. exclusion
- What is the difference?
Directory or custodian filtering
- Available options
De-NISTing
- What is it?
DATA TARGETING DURING PROCESSING
File-type filtering
- Methods - Associated risks De-duplication
- General method - Options available- Significance and impact - Document families
DATA TARGETING DURING PROCESSING
Date range filtering
- Methods
- Associated risks and considerations
Keyword filtering
- Available options
- What to look out for? - Better to wait?
DATA TARGETING DURING ECA
ECA vs EDA
- EDA FTW (for the win)
- Value increases with data volume - Many options, many tool-specific
Random sampling
- Utility and benefits - Sample sizes
DATA TARGETING DURING ECA
E-mail communication filtering
- Sender and recipient - Domain names
- Subject lines
Keyword filtering
- Simple, Boolean, fuzzy - ECA/EDA is the time
o Best search tools
o Best reporting options o Easiest iteration
DATA TARGETING DURING ECA
E-mail threading
- Grouping, sequencing, content analysis, visualization - Organization versus disposition
Near duplicate identification
- Multiple techniques, variable thresholds - Organization versus disposition
Conceptual analytics
- Conceptual searching and clustering, categorization, CAR - Advantages and disadvantages
STRATEGY AND NEGOTIATION
The kitchen sink approach is not recommended
Broad overview provided to show range
Project specific strategies must be developed
- Factors to consider o Available time o Available budget o Technological resources o Human resources o Matter-specific concerns
STRATEGY AND NEGOTIATION
Data Targeting Before Litigation (EDRM IM Phase)
Data Reduction During Collection
(EDRM Identification, Preservation and Collection Phases)
Data Targeting During Processing (EDRM Processing Phase)
Data Targeting During ECA (EDRM Analysis Phase)
Retention, Remediation, Mapping Targeted Collection, Selective Restoration
Random Sampling, E-mail Communication Filtering, Keyword Filtering, Conceptual
Analytics, E-mail Threading Directory Filtering, Custodian Filtering,
De-NISTing, File-Type Filtering, Deduplication Date Range Filtering, Keyword Filtering
STRATEGY AND NEGOTIATION
Negotiation can be the most powerful tool of all
Negotiation with opposing parties
- Before, during, and after 26(f) - With judge, if necessary
Negotiated agreements
- Can limit scope
- Can specify methodology