Dashboard
Firm management dashboard
Revenue, margin, utilization, WIP, and collections.
- Connected to practice management, time/billing, CRM, and finance systems
- Thresholds and owners
- Drill to operational detail
Industry analytics
Law firms debate when matter management (e.g. Aderant/Elite-class), time/billing WIP, and finance collections disagree on matter/client grain. We model realization and collection in Power BI so partners see leakage before monthly pricing reviews.
Typical friction when CRM, ERP, and operational tools are reported separately.
What changes when those systems feed a governed Power BI model.
03
Commercial considerations
Legal organizations already manage the business in practice management, time/billing, CRM, and finance systems. The reporting problem is usually not “we need another chart”—it is that CRM, ERP, and operational extracts disagree on timing, filters, and owners before every meeting.
Partners review matters in practice tools while collections live in finance—realization debates start every month-end. Power BI for Legal only works when those systems of record feed one governed semantic model with documented KPI definitions.
Power BI Analytics scopes the first release around the legal decisions that currently wait on manual packs—then connects the right source systems, validates totals, and lands the report in a real operating cadence.
Built for leaders who need dependable numbers in real operating conversations—not another unused dashboard.
We establish a baseline before delivery so ROI is discussed in operating terms, not slideware.
01
Measure hours currently spent assembling legal reporting packs, reconciling totals, and answering “which number is correct?”
02
Track how many days earlier leaders can see exceptions, variances, or forecast risk after the release.
03
Count disputed metrics, failed refreshes, and unmanaged workbooks replaced by governed models.
04
Confirm the intended audience actually uses the report in the meeting or process it was designed for.
Partners review matters in practice tools while collections live in finance—realization debates start every month-end. Power BI consulting connects these systems of record into one governed reporting model.
matters, time, WIP
realization, write-offs
clients, pursuits, relationships
AR, collections, DSO
cycle time and risk flags
Billed value relative to recorded time.
Cash collected relative to billed amount.
Profitability by matter, practice, or client.
Billable activity relative to capacity.
Recommended dashboards
Power BI for Legal patterns we tailor to your systems, owners, and review cadence. Click any preview to expand.
Dashboard
Revenue, margin, utilization, WIP, and collections.
Dashboard
Budget, staffing, time, billing, and risk by matter.
Reporting only creates value when it lands in a real review rhythm.
05
Buyer questions answered
Connect the systems you already use and leave with a clear place to report—before another orphan dashboard appears.
Build 1–2 live dashboard pages that pull from multiple sources—not a screenshot of Excel pasted into Power BI.
Retire the Monday email of pasted workbooks: scheduled refresh and one pack finance can open without stitching tabs.
Data Warehouse Design starts by killing contradictory extracts—then publishes measures that data leaders, IT managers, and executives can defend from multiple operational systems and historical data.
Utilization, WIP, and delivery margin from PSA + CRM—one staff-week grain: connect PSA, CRM, timekeeping, accounting ERP, and resource planning so leaders manage utilization, delivery margin, pipeline, and client health.
Flash P&L and cash from GL + AR/AP—definitions finance will sign: connect GL/ERP, FP&A planning, AP/AR, payroll, and operational systems so leaders manage profitability, cash, forecast accuracy, and controls.
Loss ratio and claims cycle time from policy + claims systems: connect policy admin, claims, distribution CRM, finance, and actuarial systems so leaders manage underwriting performance, claims outcomes, and distribution insight.
Talk through priorities, data sources, and a practical first Power BI release.