AI automation for legal and collections work

Law-firm status reports, invoices and vendor files are picked up, mapped and imported automatically. People review only the rows the system isn't sure about.

Automation

Law-firm files

Status reports and invoices mapped and checked. Unclear rows go to a reviewer.

Vendor exchanges

FTPS transfers converted to collection-system imports.

System posting

Posted the way the system's own screens do, tested on a copy first.

Clerical work

Inbound and outbound data handling, automated with AI.

Document requests

Documents are found and packaged automatically. A person checks them before they go out.

Document library

All document stores in one search.

Results

53% fasterSuit to judgment
A third fasterTo suit
Tens of thousandsLaw-firm notifications loaded automatically
93% fewerError tasks
  • Hundreds of bankruptcies loaded with no manual entry.
  • Suits started more than doubled.
  • Cleaner documentation gets cases to judgment faster.

Collections on recent lots

Collections on recent lots are now about 50% above forecast, up from nearly 30% below three quarters ago. The turnaround followed the faster suit filing and the judgment fixes.

Collections vs forecast on recent purchased lots, by quarterBars for five quarters. The first two are below the forecast line and the last three are well above it.25Q325Q426Q126Q226Q3
Actual vs forecast collections by quarter. Dashed line is forecast.

The data underneath

Warehouse and pipelines

Change-data-capture and ETL into one database.

Standard files

Seller, placement and recall files in one documented format.

Data quality

Checks and audits on every load.

Case study

Taking manual work out of the legal process. Automated law-firm data at a collections business. Suits and judgments got faster and collections on recent lots rose above forecast.

Related work

All work

Talk to us

Tell us what system you're on and where the data needs to go.