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.