SlideShare a Scribd company logo
Building IG Policies
and Workflows
Presented by kCura and the
Information Governance Initiative
@RelativityFest #IGwebinar
© 2015 kCura. All rights reserved.
Welcome to the Relativity Fest Webinar Series
• Check out a recording of last month’s judicial panel:
www.kcura.com/relativity/resources/judicial-panel-webinar
• Stay tuned for more on our website’s Training Center
or by subscribing to the Relativity Blog
Thanks for Joining Us
@RelativityFest #IGwebinar
© 2015 kCura. All rights reserved.
Quick Notes
• Webinar attendees are in
listen-only mode
• Enter questions in the
“Questions” section of
the webinar console
• We may grab questions along
the way, but we’ll save most
for the end of the webinar*
Thanks for Joining Us
@RelativityFest #IGwebinar
© 2015 kCura. All rights reserved.
• Rene Laurens, kCura • Bennett Borden, IGI
Presenters
@RelativityFest #IGwebinar
IG, Data Remediation,
and How They Intersect
@RelativityFest #IGwebinar
© 2015 kCura. All rights reserved.
What is Information Governance?
The activities and
technologies that
organizations employ to
maximize the value of
their information while
minimizing associated
risks and costs.
93%
of Respondents Agreed
96%
of Practitioners Agreed
95%
of Providers Agreed
85%
of Analysts Agreed
@RelativityFest #IGwebinar
© 2015 kCura. All rights reserved.
Remediation is the process of bringing order
to information through policies, practices,
and technology. It is the remedying of
ungoverned data.
What about Data Remediation?
@RelativityFest #IGwebinar
© 2015 kCura. All rights reserved.
• Data remediation is a common first step in developing an IG
program.
• Good start toward a proactive approach to addressing growing data
volumes because you’re:
How Do They Work Together?
1
2
Learning about your data sources
Analyzing the data’s content and context
@RelativityFest #IGwebinar
© 2015 kCura. All rights reserved.
Rules about data retention, structuring, and disposition
Standardized, consistent legal hold policies
System-specific procedures
Information security and protection policies
Regular assessment and alignment as necessary
Building a Strong Foundation
@RelativityFest #IGwebinar
Parallels to e-Discovery
and How to Get Started
@RelativityFest #IGwebinar
© 2015 kCura. All rights reserved.
• Proper IG means less junk to collect, process, and review during
e-discovery.
• If data remediation is a logical first step toward responsible IG,
IG is a logical first step toward proportional e-discovery.
Where Does e-Discovery Come in?
@RelativityFest #IGwebinar
© 2015 kCura. All rights reserved.
• IG teams are built by IT, legal, and other professionals—collaborate!
• Good sources for legacy content to consider:
– Data being archived or migrated during hardware upgrades
– Data being migrated to the cloud
– Data that needs to be handled after an employee leaves the company
How Can Your Team Begin?
@RelativityFest #IGwebinar
© 2015 kCura. All rights reserved.
Sort business information into three actionable buckets:
Data we understand
well enough to
defensibly delete.
Data we understand
well enough to retain.
Data we don’t have
enough information
about to make a
decision either way.
How Can Your Team Start?
@RelativityFest #IGwebinar
© 2015 kCura. All rights reserved.
IG and e-discovery
workflows are similar
Use Existing e-Discovery Software
@RelativityFest #IGwebinar
© 2015 kCura. All rights reserved.
Custom workflows in
your e-discovery
software can help
you avoid the need to
expand your software
and training budgets
Use Existing e-Discovery Software
@RelativityFest #IGwebinar
© 2015 kCura. All rights reserved.
Use filtering options
in collection and
processing stages
to sort data into
buckets early on
Use Existing e-Discovery Software
@RelativityFest #IGwebinar
© 2015 kCura. All rights reserved.
Data in the “not
enough information”
bucket can be analyzed
with the same text
analytics tools used for
e-discovery projects
Use Existing e-Discovery Software
@RelativityFest #IGwebinar
Example Workflow
@RelativityFest #IGwebinar
© 2015 kCura. All rights reserved.
• We have 40,380 documents to sort into our three buckets:
Example: Use Existing e-Discovery Software
Data we understand
well enough to
defensibly delete.
Data we understand
well enough to retain.
Data we don’t have
enough information
about to make a
decision either way.
@RelativityFest #IGwebinar
Stage 1: Collection
@RelativityFest #IGwebinar
© 2015 kCura. All rights reserved.
Begin a new collection (40,380 documents)
Exclude the date range you don’t need (-6,012)
Ignore sources and folders you don’t need (-1,700)
Collect the remaining data for further analysis (=32,668)
Create a report to capture your decisions
Stage 1: Collection
@RelativityFest #IGwebinar
Stage 2: Processing
@RelativityFest #IGwebinar
© 2015 kCura. All rights reserved.
Begin processing your collection (32,668 documents)
Exclude records by NIST, file type, and email domain (-71)
Exclude records by email domain (-2,478)
Process the remaining data for further analysis (=30,119)
Create a report to capture your decisions
Stage 2: Processing
@RelativityFest #IGwebinar
Stage 3: Analytics
@RelativityFest #IGwebinar
© 2015 kCura. All rights reserved.
Index your workspace (30,119 documents)
Run clustering to sort into similar concepts
Focus only on sample sets with categorization
Find similar documents based on key records
Create a report to capture your decisions
Stage 3: Analytics
@RelativityFest #IGwebinar
Results
@RelativityFest #IGwebinar
© 2015 kCura. All rights reserved.
40,380 documents
down to
30,119 documents.
Simple collection and processing
workflows alone removed
25.4% of our original data set.
Results Before Analytics
@RelativityFest #IGwebinar
How do you think the proposed
revisions to FRCP 37(e) will
affect evolving IG policies?
@RelativityFest #IGwebinar
Which department in an
organization should take
ownership of IG policies
and procedures?
@RelativityFest #IGwebinar
What’s a common mistake
made by organizations first
trying a data remediation
project, and how can it
be avoided?
@RelativityFest #IGwebinar
Open Q&A
kcura.com/relativity/igresources | iginitiative.com | advice@kcura.com | Find us at LegalTech!
@RelativityFest #IGwebinar
Thanks for attending!
You’ll receive a follow-up email soon.
@RelativityFest #IGwebinar

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Building Information Governance Policies and Workflows

  • 1. Building IG Policies and Workflows Presented by kCura and the Information Governance Initiative @RelativityFest #IGwebinar
  • 2. © 2015 kCura. All rights reserved. Welcome to the Relativity Fest Webinar Series • Check out a recording of last month’s judicial panel: www.kcura.com/relativity/resources/judicial-panel-webinar • Stay tuned for more on our website’s Training Center or by subscribing to the Relativity Blog Thanks for Joining Us @RelativityFest #IGwebinar
  • 3. © 2015 kCura. All rights reserved. Quick Notes • Webinar attendees are in listen-only mode • Enter questions in the “Questions” section of the webinar console • We may grab questions along the way, but we’ll save most for the end of the webinar* Thanks for Joining Us @RelativityFest #IGwebinar
  • 4. © 2015 kCura. All rights reserved. • Rene Laurens, kCura • Bennett Borden, IGI Presenters @RelativityFest #IGwebinar
  • 5. IG, Data Remediation, and How They Intersect @RelativityFest #IGwebinar
  • 6. © 2015 kCura. All rights reserved. What is Information Governance? The activities and technologies that organizations employ to maximize the value of their information while minimizing associated risks and costs. 93% of Respondents Agreed 96% of Practitioners Agreed 95% of Providers Agreed 85% of Analysts Agreed @RelativityFest #IGwebinar
  • 7. © 2015 kCura. All rights reserved. Remediation is the process of bringing order to information through policies, practices, and technology. It is the remedying of ungoverned data. What about Data Remediation? @RelativityFest #IGwebinar
  • 8. © 2015 kCura. All rights reserved. • Data remediation is a common first step in developing an IG program. • Good start toward a proactive approach to addressing growing data volumes because you’re: How Do They Work Together? 1 2 Learning about your data sources Analyzing the data’s content and context @RelativityFest #IGwebinar
  • 9. © 2015 kCura. All rights reserved. Rules about data retention, structuring, and disposition Standardized, consistent legal hold policies System-specific procedures Information security and protection policies Regular assessment and alignment as necessary Building a Strong Foundation @RelativityFest #IGwebinar
  • 10. Parallels to e-Discovery and How to Get Started @RelativityFest #IGwebinar
  • 11. © 2015 kCura. All rights reserved. • Proper IG means less junk to collect, process, and review during e-discovery. • If data remediation is a logical first step toward responsible IG, IG is a logical first step toward proportional e-discovery. Where Does e-Discovery Come in? @RelativityFest #IGwebinar
  • 12. © 2015 kCura. All rights reserved. • IG teams are built by IT, legal, and other professionals—collaborate! • Good sources for legacy content to consider: – Data being archived or migrated during hardware upgrades – Data being migrated to the cloud – Data that needs to be handled after an employee leaves the company How Can Your Team Begin? @RelativityFest #IGwebinar
  • 13. © 2015 kCura. All rights reserved. Sort business information into three actionable buckets: Data we understand well enough to defensibly delete. Data we understand well enough to retain. Data we don’t have enough information about to make a decision either way. How Can Your Team Start? @RelativityFest #IGwebinar
  • 14. © 2015 kCura. All rights reserved. IG and e-discovery workflows are similar Use Existing e-Discovery Software @RelativityFest #IGwebinar
  • 15. © 2015 kCura. All rights reserved. Custom workflows in your e-discovery software can help you avoid the need to expand your software and training budgets Use Existing e-Discovery Software @RelativityFest #IGwebinar
  • 16. © 2015 kCura. All rights reserved. Use filtering options in collection and processing stages to sort data into buckets early on Use Existing e-Discovery Software @RelativityFest #IGwebinar
  • 17. © 2015 kCura. All rights reserved. Data in the “not enough information” bucket can be analyzed with the same text analytics tools used for e-discovery projects Use Existing e-Discovery Software @RelativityFest #IGwebinar
  • 19. © 2015 kCura. All rights reserved. • We have 40,380 documents to sort into our three buckets: Example: Use Existing e-Discovery Software Data we understand well enough to defensibly delete. Data we understand well enough to retain. Data we don’t have enough information about to make a decision either way. @RelativityFest #IGwebinar
  • 21. © 2015 kCura. All rights reserved. Begin a new collection (40,380 documents) Exclude the date range you don’t need (-6,012) Ignore sources and folders you don’t need (-1,700) Collect the remaining data for further analysis (=32,668) Create a report to capture your decisions Stage 1: Collection @RelativityFest #IGwebinar
  • 23. © 2015 kCura. All rights reserved. Begin processing your collection (32,668 documents) Exclude records by NIST, file type, and email domain (-71) Exclude records by email domain (-2,478) Process the remaining data for further analysis (=30,119) Create a report to capture your decisions Stage 2: Processing @RelativityFest #IGwebinar
  • 25. © 2015 kCura. All rights reserved. Index your workspace (30,119 documents) Run clustering to sort into similar concepts Focus only on sample sets with categorization Find similar documents based on key records Create a report to capture your decisions Stage 3: Analytics @RelativityFest #IGwebinar
  • 27. © 2015 kCura. All rights reserved. 40,380 documents down to 30,119 documents. Simple collection and processing workflows alone removed 25.4% of our original data set. Results Before Analytics @RelativityFest #IGwebinar
  • 28. How do you think the proposed revisions to FRCP 37(e) will affect evolving IG policies? @RelativityFest #IGwebinar
  • 29. Which department in an organization should take ownership of IG policies and procedures? @RelativityFest #IGwebinar
  • 30. What’s a common mistake made by organizations first trying a data remediation project, and how can it be avoided? @RelativityFest #IGwebinar
  • 31. Open Q&A kcura.com/relativity/igresources | iginitiative.com | advice@kcura.com | Find us at LegalTech! @RelativityFest #IGwebinar
  • 32. Thanks for attending! You’ll receive a follow-up email soon. @RelativityFest #IGwebinar