Legal Analytics: Turn Billing Data into Business Insights

The Power of Legal Analytics

Your billing data contains insights that can transform firm performance. Analytics help identify problems early, optimize operations, and make better decisions.

Firms using analytics effectively report 15% improvement in realization and faster collection cycles.

Key Billing Metrics

Revenue Metrics

• Fees billed: Total invoiced amounts
• Fees collected: Cash received
• Revenue per attorney: Productivity measure
• Revenue per partner: Partner economics

Efficiency Metrics

• Utilization: Billable hours / available hours
• Realization: Collected / standard value
• Collection rate: Collected / billed
• Write-off rate: Written off / recorded

Collection Metrics

• Days Sales Outstanding (DSO): Average collection time
• Aging distribution: AR by age bucket
• Collection effectiveness: Cash collected / beginning AR

Client Analytics

Client Profitability

Measure for each client:

• Revenue contribution
• Effective realization rate
• Payment behavior
• Resource consumption

Client Trends

• Revenue growth/decline
• Matter volume changes
• Rate sensitivity
• Work type evolution

Learn about improving profitability through client analysis.

Matter Analytics

Budget Performance

• Budget vs. actual comparison
• Variance by phase
• Overrun frequency
• Estimate accuracy trends

Staffing Analysis

• Leverage ratios by matter type
• Senior time vs. junior time
• Resource utilization
• Capacity planning data

Building Reports

Executive Dashboards

Key elements:

• Revenue and collection summary
• Utilization by practice group
• Top clients by revenue
• AR aging snapshot

Practice Group Reports

• Group financial performance
• Individual attorney metrics
• Client portfolio analysis
• Pipeline and forecasting

Client Reports

• Matter activity summaries
• Spend analysis
• Budget status
• Trend comparisons

Using Analytics for Action

Collection Focus

1. Identify slow-paying clients
2. Target high-value outstanding AR
3. Prioritize follow-up activities
4. Track improvement over time

Pricing Optimization

1. Analyze realization by matter type
2. Identify underpriced work
3. Adjust rates and structures
4. Monitor impact

Technology Requirements

Effective analytics need:

• Clean, consistent data
• Integration across systems
• Visualization capabilities
• Self-service access

Unlock your data's potential. IntelliBill analytics turns billing data into insights.

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