Pittsburgh User Group
Pittsburgh User Group Analytics Workflows for Smaller Cases
© kCura LLC. All rights reserved.
Who are you? Inquiring minds…
© kCura LLC. All rights reserved.
How does a user group work? •
You, the community, drive the user group’s topics and conversation
•
kCura is here to moderate the conversation
•
The more you put into the meetings the more you get out
•
Surveys will go out at the end of each meeting, Please fill out!!
© kCura LLC. All rights reserved.
Articulating the Value of Relativity Analytics
© kCura LLC. All rights reserved.
Analytics Toolbox Conceptual
Structured
•
Categorization
•
Email threading
•
Clusters
•
Near duplication
•
Keyword expansion
•
Language identification
•
Concept searching
•
Repeated Content Identifier
•
Find similar
© kCura LLC. All rights reserved.
Use Case Features Use Case
Feature
•
•
Email threading
•
Foreign language identification
Narrowing the review set
© kCura LLC. All rights reserved.
Use Case Features Use Case
Feature
•
Narrowing the review set
•
Near duplicate detection
•
Quality control
•
Cluster visualization
© kCura LLC. All rights reserved.
Use Case Features Use Case
Feature
•
Narrowing the review set
•
•
Quality Control
•
Investigation
© kCura LLC. All rights reserved.
Keyword expansion
Use Case Features Use Case
Feature
•
Narrowing the review set
•
Clustering
•
Investigation
•
Categorization
•
Quality control
•
Organizing large sets of data
© kCura LLC. All rights reserved.
Common Objectives
© kCura LLC. All rights reserved.
Common Objectives •
Analytics is best only for the largest cases.
•
Analytics is too expensive.
•
Analytics is not defensible.
© kCura LLC. All rights reserved.
“Analytics is best only for the largest cases” •
Messaging with analytics in e-discovery has focused on large case wins.
•
There are a number of uses for a majority of cases. For example: –
Batching - Reviewing conceptually related documents increases review speed
–
Production prep – Analytics can help to avoid mistakenly producing privileged docs
–
Keyword sampling – Address keyword issues to help identify other potentially relevant documents
–
Threading – Only review inclusives and reduce the volume of email
© kCura LLC. All rights reserved.
“Analytics is too expensive” •
Email threading will save clients money on almost every case
•
Other workflows that can help save your client money: – Batching by Clusters – Categorization – Relativity Assisted Review
© kCura LLC. All rights reserved.
Takeaways
© kCura LLC. All rights reserved.
Takeaways •
Document sets continue to grow along with the pressure to drive down cost.
•
Relativity Analytics can save clients money.
•
Analytics should be used on every case (QC, Review speed, organizing large sets of documents, narrowing down the set).
•
Be an advisor. Be prepared to explain your workflow and what happens next.
•
Know the use cases and your own success stories.*
© kCura LLC. All rights reserved.
© kCura LLC. All rights reserved.
© kCura LLC. All rights reserved.
Who are you? Inquiring minds…
© kCura LLC. All rights reserved.
How does a user group work? •
You, the community, drive the user group’s topics and conversation
•
kCura is here to moderate the conversation
•
The more you put into the meetings the more you get out
•
Surveys will go out at the end of each meeting, Please fill out!!
© kCura LLC. All rights reserved.
Articulating the Value of Relativity Analytics
© kCura LLC. All rights reserved.
Analytics Toolbox Conceptual
Structured
•
Categorization
•
Email threading
•
Clusters
•
Near duplication
•
Keyword expansion
•
Language identification
•
Concept searching
•
Repeated Content Identifier
•
Find similar
© kCura LLC. All rights reserved.
Use Case Features Use Case
Feature
•
•
Email threading
•
Foreign language identification
Narrowing the review set
© kCura LLC. All rights reserved.
Use Case Features Use Case
Feature
•
Narrowing the review set
•
Near duplicate detection
•
Quality control
•
Cluster visualization
© kCura LLC. All rights reserved.
Use Case Features Use Case
Feature
•
Narrowing the review set
•
•
Quality Control
•
Investigation
© kCura LLC. All rights reserved.
Keyword expansion
Use Case Features Use Case
Feature
•
Narrowing the review set
•
Clustering
•
Investigation
•
Categorization
•
Quality control
•
Organizing large sets of data
© kCura LLC. All rights reserved.
Common Objectives
© kCura LLC. All rights reserved.
Common Objectives •
Analytics is best only for the largest cases.
•
Analytics is too expensive.
•
Analytics is not defensible.
© kCura LLC. All rights reserved.
“Analytics is best only for the largest cases” •
Messaging with analytics in e-discovery has focused on large case wins.
•
There are a number of uses for a majority of cases. For example: –
Batching - Reviewing conceptually related documents increases review speed
–
Production prep – Analytics can help to avoid mistakenly producing privileged docs
–
Keyword sampling – Address keyword issues to help identify other potentially relevant documents
–
Threading – Only review inclusives and reduce the volume of email
© kCura LLC. All rights reserved.
“Analytics is too expensive” •
Email threading will save clients money on almost every case
•
Other workflows that can help save your client money: – Batching by Clusters – Categorization – Relativity Assisted Review
© kCura LLC. All rights reserved.
Takeaways
© kCura LLC. All rights reserved.
Takeaways •
Document sets continue to grow along with the pressure to drive down cost.
•
Relativity Analytics can save clients money.
•
Analytics should be used on every case (QC, Review speed, organizing large sets of documents, narrowing down the set).
•
Be an advisor. Be prepared to explain your workflow and what happens next.
•
Know the use cases and your own success stories.*
© kCura LLC. All rights reserved.
© kCura LLC. All rights reserved.
