todd dietrich - #infogov17 - are you ever really ready for litigation?
TRANSCRIPT
Litigation Readiness can be defined as:
Proactive efforts taken by an organization to prepare for the discovery phase of litigation or an investigation. These efforts help to position discovery response as a consistent and defensible business process.
Identification Locating potential sources of ESI & determining its scope, breadth and depth.
Preservation Ensuring that ESI is protected against inappropriate alteration or destruction.
Collection Gathering ESI for further use in the e-discovery process (processing, review, etc.)
Processing Reducing the volume of ESI and converting it, if necessary to forms more suitable for review and analysis.
EDRM Description
EDRM Description Review Evaluating ESI for relevance &
privilege. Analysis Evaluating ESI for content &
context, including key patterns, topics, people & discussion.
Production Delivering ESI to others in appropriate forms & using appropriate delivery mechanisms.
Presentation Displaying ESI before audiences, especially in native & near-native forms to elicit further information, validate existing facts or positions or persuade an audience
Costs • Reduce discovery costs
• less duplicate or unnecessary information
• reduced processing, hosting, and review fees
• Improve data collection response times
• Optimize discovery workflow
Risks • Limit incomplete collections
and risk of spoliation • Reduce legal exposures
from over retention of unnecessary records
• Avoid inconsistent discovery processes
• Drive compliance with regulators
Custodians • Relevant Departments • Locations • Current vs. former
Data Sources • Email • Workstations • Mobile devices • Network locations
Locating potential sources of ESI & determining its scope, breadth and depth.
(Source: https://hbr.org/2017/05/whats-your-data-strategy)
50% is used in decision making
1% is analyzed or used at all
70% of employees have improper access to data
Analysts spend 80% of their time just looking for and preparing data
Smaller Data Volumes
Catalog
Classify
Clean-up Image Source: http://www.freeimages.com/photo/cleaning-
time-1258462
Image source: https://static.pexels.com/photos/209137/pexels-photo-209137.jpeg
• Standardize data management for discovery
• Develop discovery vendor requirements
• Audit discovery vendors
• Reduce unnecessary data in the discovery process