Retention Labels in SharePoint: Compliance Made Easy

Understanding Retention Labels

Retention labels in Microsoft 365 help organizations manage content lifecycle by defining how long content should be kept and what happens when that period ends. They're essential for regulatory compliance, legal hold, and efficient storage management.

Retention Labels vs Retention Policies

Retention Labels

• Applied to individual items
• Can be auto-applied or manual
• Support records declaration
• Visible to users
• Portable with content

Retention Policies

• Applied to locations (sites, mailboxes)
• Always automatic
• Background operation
• Not visible to users
• Location-based

When to Use Each:

• Labels: Regulatory records, classified content, user-driven retention
• Policies: Baseline retention, bulk operations, location-wide rules

Creating Retention Labels

In Microsoft Purview

• Navigate to Microsoft Purview compliance portal
• Go to Data lifecycle management > Labels
• Create new retention label
• Configure settings:
• Label name and description
• Retention period
• Action at end of period
• Records management options

Retention Settings

Retention Period:

• Days, months, or years
• Based on creation, modification, or labeling date
• Event-based (trigger from external system)

End of Period Actions:

• Delete items automatically
• Trigger disposition review
• Delete label only (keep content)
• Nothing (advisory only)

Records Management

Declaring Records

Labels can mark content as records:

Regular Record:

• Cannot be deleted during retention
• Can be modified (with versioning)
• Labeled content locked

Regulatory Record:

• Cannot be deleted or modified
• Most restrictive setting
• Required for some regulations

Disposition Review

For content requiring human approval before deletion:

• Configure label for disposition review
• Content enters disposition stage
• Reviewers approve/extend/relabel
• Approved items deleted
• Audit trail maintained

Auto-Apply Labels

Sensitive Information Types

Automatically label content containing:

• Credit card numbers
• Social Security numbers
• Medical records
• Custom patterns

Trainable Classifiers

AI-powered classification:

• Train on sample documents
• System learns patterns
• Auto-applies to matching content
• Improves over time

Keywords and Queries

Label based on metadata:

• Specific keywords in content
• Managed property values
• Content type matches
• Site/library membership

Implementation Strategy

Phase 1: Discovery

• Inventory Content Types
• What documents exist?
• What are retention requirements?
• Who owns each type?

• Map Regulations
• Industry requirements (HIPAA, SOX, GDPR)
• Legal hold requirements
• Business policy needs

Phase 2: Design

• Create Label Taxonomy
• Naming convention
• Hierarchy of labels
• Default periods

• Define Governance
• Who can publish labels?
• Who can apply labels?
• Review and approval process

Phase 3: Implementation

• Start with Test Sites
• Pilot with non-critical content
• Validate auto-apply rules
• Train key users

• Roll Out Gradually
• Department by department
• Monitor for issues
• Gather feedback

Phase 4: Operationalize

• Ongoing Management
• Regular reviews of dispositions
• Update labels as regulations change
• Monitor auto-application accuracy

Best Practices

Label Design

Keep It Simple:

• 10-15 labels maximum
• Clear, business-friendly names
• Logical groupings

Example Labels:

• Financial Records - 7 Years
• HR Documents - Employee Tenure + 7 Years
• Contracts - Life of Contract + 5 Years
• General Business - 3 Years
• Temporary - 30 Days

User Experience

Make It Easy:

• Clear label descriptions
• Default labels where appropriate
• Training materials
• Self-service guidance

Compliance Documentation

Maintain Records:

• Label change history
• Disposition approvals
• Auto-apply rule documentation
• Regulatory mapping

Common Challenges

Over-Labeling

Problem: Too many labels confuse users

Solution:

• Consolidate similar retention periods
• Use auto-apply for routine content
• Reserve manual labeling for exceptions

Under-Labeling

Problem: Critical content not labeled

Solution:

• Auto-apply rules for known patterns
• Default labels on libraries
• Regular audits of unlabeled content

Label Conflicts

Problem: Multiple labels could apply

Solution:

• Clear precedence rules
• Auto-apply priority settings
• User guidance for edge cases

Reporting and Monitoring

Built-in Reports

Microsoft Purview provides:

• Label activity
• Disposition status
• Auto-apply statistics
• Policy match reports

Custom Monitoring

Consider tracking:

• Unlabeled content percentage
• Disposition backlog
• User adoption rates
• Auto-apply accuracy

Conclusion

Retention labels transform compliance from a burden to an automated process. Proper implementation ensures regulatory requirements are met while reducing storage costs and legal risk. Start with high-priority content types and expand based on business needs.

Our compliance specialists can help design a retention strategy that meets your regulatory requirements while remaining practical for everyday users.