Enforce claims — 1,000+ cases from CSV import to demand letter
How GL Inkasso FlexCO imports a thousand claims into Advocat before the first demand letter even reaches the debtor.
In production
work. ERLEDIGT.
Who is G&L / GL Inkasso?
G&L Attorneys — Gottgeisl & Leinsmer Rechtsanwälte GmbH — was founded in 2016 and specialises in consumer protection, mass proceedings and class actions. The founders, Mag. Michael Gottgeisl and Mag. Jakob Leinsmer, run offices in Vienna and Linz and represent their clients in consumer protection and mass proceedings. Their business model is precise and scalable: specialised attorneys, focused areas of practice, digital processes from first contact to case update.
GL Inkasso FlexCO is the firm’s collections subsidiary and specialises in the efficient recovery of large claim volumes. As a modern legal practice, GL Inkasso applies legal tech — digital processes that differ fundamentally from classic manual handling. That is essential: with thousands of claims, manual work is not the success factor — automation, error reduction and speed are.
The problem
A major client of GL Inkasso had thousands of open claims — each one had to be filed in Advocat, the firm management system. That sounds routine, but it isn’t: the data arrived as a CSV file with debtor information, amounts, due dates and the legal basis for each claim. Advocat, however, requires a specific import schema. In practice that meant: review row by row, format, structure, import.
With ten cases that is doable by hand. With a hundred it’s already a strain. With a thousand it becomes a full-time task for several staff, takes weeks, and the error rate climbs. In parallel the debtor waits — and every day the first demand letter doesn’t arrive is a lost day. In collections that is a direct risk factor: the faster the demand letter is in front of the debtor, the higher the recovery rate. Long waiting times mean lost payments.
The process was therefore doubly problematic: time-consuming, error-prone and bad for business, because operational delay directly hurts collection success.
Before. Intervention. After.
for a major CSV import into Advocat
A thousand claims from a major-client CSV — reviewed row by row, formatted, structured, imported. Staff time measured in weeks — and every lost day before the first demand letter lowers the recovery rate.
UNOY Back Office
- →CSV file defined as structured input
- →Advocat import schema modelled as the target format
- →Data validation, error buckets, resume on failure
- →Log entry for every imported claim
Model · Partner
for the entire import · < 1% error rate
A thousand claims in the Advocat firm system, including the first reminder, in hours instead of weeks. A faster demand letter means a higher recovery rate — the direct business driver is back under control.
Source: project measurement at GL Inkasso · major-client migration
Work in — result out
Input
CSV file with thousands of claims — debtor data, amounts, due dates, legal basis of each claim, contact information.
UNOY works
- • Validates and structures the CSV data
- • Transforms it into the Advocat import schema
- • Generates demand letters automatically
- • Sends demand letters by email/post
- • Prepares documents for case import
- • Creates a batch import in Advocat
Result
A thousand cases set up in Advocat right away, every demand letter sent, documents correctly assigned, zero transmission errors.
- ✓ Advocat-ready import
- ✓ Demand letters already sent
- ✓ Document import prepared
- ✓ No manual errors
1,000+
cases imported in one project
CSV→Advocat
Direct import, no detours
Up front
Demand letters go out immediately
< 1%
error rate in the import pipeline
“With UNOY we can prepare and import thousands of collection cases in a fraction of the time. The demand letters go out before the case is even opened in Advocat — that saves weeks and lifts the recovery rate.”
Supervision model
Self
You build your own digital twin that delivers results. Every rule defined by you, every result under your control.
Your digital expert — built by you.
Partner
UNOY's expertise is included. You work together with the system — we set it up, you keep control.
Expert knowledge included — we set it up, you keep control.
Supervised
The entire work is delivered as a finished result — with legal accountability through Skribe Attorneys.
You hand off the case — we deliver the finished result.
Why UNOY?
The core idea: UNOY does not only prepare data — it also acts BEFORE the import. The demand letters go out before the case is opened in Advocat. That gains GL Inkasso weeks compared with the classic process of import first, then write. The reversed sequence means not just efficiency, but directly higher recovery rates, because the debtor can react sooner.
At the same time, the CSV-to-Advocat pipeline eliminates manual errors. What used to be a week of data entry is now an automated workflow. No typos, no swapped columns, no duplicates. For a firm processing 1,000+ cases per project, this error reduction is not just convenient — it is business-critical.
And UNOY gives GL Inkasso independence. The system was built by UNOY, but GL Inkasso operates it themselves. New requirements? GL Inkasso can adapt the workflow designer themselves — without an external agency, without developer tickets. That saves time, reduces cost and removes the risk of being dependent on an external party.
What we learned
Speed is a collections advantage. This project reinforced something fundamental: the faster the first demand letter is in front of the debtor, the higher the recovery rate. Classic processes that import first and then write waste this time. UNOY shows that both steps can run in parallel — writing and importing at the same time — and that this directly improves measurable business outcomes.
Mass proceedings need mass processing. That is not an IT platitude but a practical limit: what works manually for 10 cases collapses at 1,000. The CSV-to-Advocat pipeline shows that scaling is not a technology problem, it is a workflow problem. Whoever does not automate the workflow cannot scale — and whoever cannot scale stays small.
The interface decides. Advocat is a powerful system — but the import is the biggest bottleneck. UNOY solves exactly that bottleneck without changing Advocat. This is the classic integration strategy: don’t reinvent existing systems, design their interfaces intelligently. GL Inkasso already had a proven system — UNOY simply optimised the door into that system.
Technical Deep Dive: CSV-to-Advocat with automated demand letter
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CSV parsing and data validation
Separator detection, data-type checks, mandatory-field validation
Transformation into the Advocat import schema
Column mapping, data-format conversion, consistency checks
Automatic generation of demand letters
Template-based generation with personalised salutation and claim details
Email and postal dispatch
Automatic dispatch ahead of the Advocat import, dispatch logging, delivery confirmation
Document preparation for case import
Structuring of attachments, allocation to cases, metadata enrichment
Batch import of thousands of cases
Parallel processing, transactional safety, rollback on error
Error log and exception handling
Detailed logs, retry mechanisms, manual intervention on critical errors
Audit trail for every processed case
Traceability from input to Advocat import, legally compliant documentation
More customer cases
1,000+ claims. One platform. From CSV import to the demand letter.
30 minutes. Your mass proceeding. No slide deck.