Improve Governance with Autoclassification
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In association with: Presented by: Take the Guesswork out of Information Governance with Autoclassification Join us on February 15 at 2:00 pm ET Here’s a preview of what you’ll hear and learn. Register today: http:// www.aiim.org/Events/Webinars/20120215-webinar February 15, 2012
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AIIM webinar sneak peek. Learn how to use autoclassification to improve governance. February 15, 2012.
Transcript of Improve Governance with Autoclassification
In association with: Presented by:
Take the Guesswork out of Information Governance with Autoclassification
Join us on February 15 at 2:00 pm ET Here’s a preview of what you’ll hear and learn.
Register today:http://
www.aiim.org/Events/Webinars/20120215-webinar
February 15, 2012
In association with: Presented by:
Auto-Classification to the rescue! These new technologies and techniques
provide automatic identification, classification, retrieval and, ultimately, archival and disposal capabilities for electronic business records and transient records according to governance policies. And, because Auto-Classification eliminates the need for business users to manually identify records and apply requisite classifications, it takes the burden of classification off the end-user. Improved consistency of classification and better enforcement of governance rules is the result.
Featured speakers from Contoural, Inc.:
Mark Diamond and Stephen Ludlow
Sponsored by:
Open TextIn association with:
Kofax and StoreIQ
Additional preview, read: A Skeptic Takes a New Look at Autoclassification
Autoclassification/Governance
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Today’s Faculty
Stephen Ludlow
Program Manager, eDiscovery and Information Governance SolutionsStephen Ludlow leads OpenText’s eDiscovery practice, responsible for leveraging the capabilities of the Open Text Suite of compliance applications to create solutions that reduce customers’ eDiscovery costs and risks. He is also responsible for bringing eDiscovery applications to market that specifically address enterprise requirements to in-source eDiscovery activities. Prior to leading OpenText’s eDiscovery practice, Mr. Ludlow managed Open Text’s Risk Management and Compliance application, working with Fortune 500 companies to deploy enterprise solutions for Internal Controls and Sarbanes Oxley compliance. Before joining OpenText, Stephen was an Information Management consultant focused on Canadian Federal Government clients.
Mark DiamondPresident & CEO, Contoural, Inc.Mark Diamond is one of the industry thought leaders in proactive litigation readiness, compliance, and records information management strategies. As a trusted advisor he and his company help bridge legal, compliance and business needs and policies with effective legal and IT strategies and processes. Mark is a frequent industry speaker, presenting at numerous Legal and IT industry conferences as well as online venues. Mark is an author of numerous articles and white papers for both the legal and IT communities. Additionally, Mark addresses more than one hundred internal corporate audiences each year.
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Why Autoclassification?
Accumulation of electronic data
Low compliance for manual classification
Monolithic retention policies typically under or over-retain
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What Can We Learn From Predictive Coding?
Many studies have shown computer-assisted review to be as or more accurate than human review
Classification by topic and relevance enables faster and more accurate review
Tremendous boon for early case assessment
Courts have not provided any opinions predictive coding
Biggest obstacle is counsels’ comfort with technology
Relevant
Not Relevant
Exemplar Documents
Automated Classification
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How Do Regulators Measure Compliance?
What Did You Say You Were Going
To Do?
• Assessments• Complete
Policies• Compliant
Schedules• Industry-specific
Benchmarks
How Did You Do It?
• Tools• Processes • File Plans• Training• Defensible Holds• Defensible
Deletion
How Did You Check You Did It?
• Re-Training• Monitoring/
Supervision• Metrics Tracking• Reporting• Audits• Updates
Records Archive
SharePoint Folder Sub-folder Record TypeRecord
Category
Retention
Period
90 Days
HQ Finance
SharePoint File Plan
January 2012
ESI Map
Policy
Schedule
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There Is Not an “Easy Button” for Autoclassification
More Work up Front By Core Team Exemplar document collection System training, audit Testing, rollout Ongoing maintenance
Autoclassification Has Potential of Significantly Less Time Across the Enterprise
5000 Person Company Traditional Manual Classification Autoclassification
RIM Team Program Development Hours
5 people x 12 weeks = 2400 hours
5 people x 24 weeks = 4800 hours
RIM Team Program Execution 3 people x 12 weeks = 1440 hours
3 people x 24 weeks = 2880 hours
Total Annual Employee RIM Compliance Hours (5000 employees)
5000 employees x 1 hour per week 250,000 hours
5000 employees x 1 hour per month (.25 per week) = 60,000 hours
Total Hours 253,840 hours 67,680 hours
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Curiousity Piqued?
Register today (it’s FREE!)
http://www.aiim.org/Events/Webinars/20120215-webinar
February 15, 2012
2 PM (EST
