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GreecePublic sector2024 – ongoing

Hellenic Cadastre

Azure OpenAI assessment of property contracts

Greek land registry cuts contract assessment from up to 3 hours to under 10 minutes

WorkingVendor's case studyVendor ↗

Problem

Staff had to read about 300 pages of paperwork for each property purchase. Transactions could take months to validate.

Approach

The Ministry of Digital Governance's cadastre built a system on Azure OpenAI Service that reads and classifies contracts and applies legal rules. It produces an assessment that registry directors approve or reject. A citizen chatbot was also launched, and 150 civil servants with approving authority received AI training.

Results

15 EUR to 0.11 EURcost per assessmentVendor's case study[1]
94%time saved per assessment (up to 3 hours to under 10 minutes)Vendor's case study[1]

Takeaway

The registry automated document reading while its directors retained final approval. Microsoft reported a per-case cost reduction of more than 99%.

Categories

Innovation type
Process innovation
Evidence
Vendor's case study

Sources

  1. Hellenic Cadastre customer story
    Microsoft9 Dec 2024Vendor publication

Source summaries

[1]Microsoft9 Dec 2024

Microsoft described how the Greek cadastre uses Azure OpenAI to classify contracts and draft assessments for directors. It reported reductions in assessment time and per-case cost.

Full details are in the original sources.

Added 25 Oct 2026 · Updated 25 Oct 2026
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