Debt Collection: Court and Bailiff Documents Automation

Debt collection is a document-heavy industry — especially when it comes to legal papers like court and bailiff notices. With experience in similar projects, we partnered with one of the largest debt collection firms in Poland at a pivotal operational moment: the company was looking to replace their previous system with a more reliable, scalable solution for document automation.

Processing over 150,000 pages of correspondence every month, the client needed a fast, seamless, and high-performing implementation. In this case study, we explain how we delivered a new solution using the SensID platform — fully automating and optimizing their workflow in under three months.

As one of the top players in the industry, our client needed a trusted technology partner to help automate document classification and case assignment. Their previous system was already performing at a decent level, automating around 60% of their incoming legal documents — a critical function given the massive volumes processed yearly.

Once that system was phased out, the client faced an urgent need to launch a replacement — fast. Manual processing simply wasn’t a viable option.

Step 1: Technology evaluation

The client ran a Proof of Concept with several vendors to compare classification and extraction performance in realistic conditions.
SensID outperformed the competition across the board — particularly in classification precision and extraction quality.

Step 2: Custom classification models

Our team built a machine learning model tailored to the client’s actual document flow, enabling automatic recognition and sorting of over 60 document types.

Step 3: Advanced data extraction

For 14 key document types, we created dedicated extraction models. These not only captured essential fields (like case number or date), but also interpreted complex context — including reasons for case closure, missing information, and various types of payments or legal actions.

Step 4: Full production deployment

The system was integrated with the client’s workflow and deployed in a “black box” mode — working silently in the background. End users now interact only with pre-processed, classified, and assigned documents, ready for action.

The project also included a Hypercare package, providing extended support during the first three months of go-live.

Results that speak for themselves

The goal was to match — or surpass — the previous system’s performance. Thanks to iterative development and continuous model refinement, the new solution exceeded expectations:

• 97% classification accuracy across 28 categories of bailiff and 39 categories of court documents

• 98% case-matching accuracy, drastically reducing manual interventions

• 85% of documents processed automatically, with no human input needed — resulting in major time and resource savings

Automating the handling of court and bailiff documents is no longer a nice-to-have — it’s a necessity.
High volumes, pressure to improve efficiency, and cost constraints make manual processing unsustainable.

With the SensID platform, the client reached a new level of automation — streamlining critical workflows and significantly reducing the burden on operational teams.