Stop Paying for Billing Inefficiencies
BillingLens reads every line item on every invoice, checking rates, hours, and descriptions against your engagement terms. Our AI catches what manual review misses.
How It Works
Three steps from invoice to insight
Upload Invoice
Drag and drop your legal invoice. BillingLens extracts every line item, timekeeper, rate, and description automatically.
Deterministic + AI Analysis
Our compliance engine runs deterministic rules first — rate math, billing increments, fee caps — then layers AI analysis informed by ADA billing guidelines, Clio benchmark data, and your engagement terms. Every flag cites its source.
Expert-Validated Results
AI flags are scored by confidence level. High-confidence items go straight to your queue with citations. Lower-confidence flags are reviewed by legal billing experts before reaching you — so you only see validated findings.
What We Catch
30+ violation types across 6 categories
Our AI compliance engine checks every line item against your engagement terms, catching issues that manual review misses.
Rate & Math Discrepancies
Incorrect rates, promised discounts not applied, unauthorized rate adjustments.
Administrative Leakage
Clerical tasks billed by attorneys, seniority mismatches where senior partners bill for paralegal-level work.
Duplicate & Block Billing
Same work billed twice, multiple tasks grouped into single time entries, billing increment violations.
Scope & Authorization
Work outside engagement scope, vague descriptions that can't be verified, tasks requiring prior approval.
Expense Violations
Non-reimbursable expenses, excessive markups, fee cap overruns.
Budget Alerts
Real-time alerts when spend approaches or exceeds your target budget.
“Trusted by law firms that believe their clients deserve clarity.”
Start Your Free Trial
Upload your first invoice and see what BillingLens catches in minutes — no credit card required.
“BillingLens reviewed invoices and identified close to $6,000 in charges that needed clarification. For the first time, I felt like someone was in my corner.”