How Schulz & Partner Cuts Legal Review Time 90% with UiPath Agentic Automation

Schulz & Partner Rechtsanwaltskanzlei u. Unternehmensberater is a German boutique law firm focused on professional debt counseling, guiding individuals and businesses through highly regulated financial processes that demand legal precision and rigorous audit trails. The firm’s work centers on creditor data verification and proof-of-income eligibility assessment — document-heavy workflows at the core of every client engagement.

The verification process was entirely manual. Staff extracted creditor details from unstructured PDFs and cross-referenced them against internal databases, a workflow complicated by inconsistent naming conventions and missing entries. Each case averaged 15 minutes of processing time. As case volumes grew, this bottleneck introduced compliance risk and reduced throughput without any clear path to scale using traditional review methods.

Working with automation partner cronos automation, Schulz & Partner combined UiPath Document Understanding with AI agents built using UiPath Agent Builder in UiPath Studio. Robots now ingest incoming documents and extract structured data automatically. AI agents validate extracted information against the firm’s master records, propose corrections for discrepancies, and route cases requiring human judgment to reviewers through UiPath Action Center. A parallel agentic workflow handles proof-of-income eligibility checks that previously required manual intervention at every step.

The operational impact was immediate. Verification cycles dropped from 15 minutes to 60 seconds per case — a 90%+ reduction. The firm moved from pilot to live production in 3–4 months and is now running two active agentic automation projects. Accuracy improved and compliance controls were maintained throughout, while the legal team reclaimed time for substantive analysis that couldn’t be automated.

The agentic automation framework Schulz & Partner built is designed to expand. The same document ingestion, validation, and exception-routing pattern can extend to other verification workflows across the firm’s practice areas. For a small specialized firm, it demonstrates that agentic automation is not the exclusive domain of large enterprises — and that AI-augmented legal operations can be deployed with the rigor the sector demands.