How We Monitor 200+ Data Sources for Regulatory Changes
EU regulations change constantly. DSGVO guidance evolves. The AI Act adds new requirements monthly. National implementations create patchwork compliance.
For our clients — especially law firms and compliance officers — missing a regulatory change can mean €20M in fines. We built a system to catch changes within 24 hours.
The Sources
| Category | Sources | Frequency |
|---|---|---|
| EU primary law | EUR-Lex, Official Journal | Daily |
| German federal | BAnz, Bundesanzeiger | Daily |
| Industry bodies | BSI, Bitkom, BDI | Weekly |
| Court decisions | BGH, EuGH, OLG | Weekly |
| International | ICO (UK), CNIL (FR) | Weekly |
The Architecture
Crawling Layer
Custom spiders built with Scrapy and Playwright. Each source has a dedicated spider tuned to its HTML structure. Change detection: hash comparison of key sections.
NLP Layer
Bert-based German legal NLP models (custom fine-tuned on BGH decisions) classify changes by:
- Regulation type (DSGVO, AI Act, LkSG, etc.)
- Impact level (informational, procedural, substantive)
- Affected industries (general, tech, healthcare, finance)
Alert Layer
Clients receive filtered alerts:
- High-impact changes: immediate email + Slack
- Medium-impact: daily digest
- Low-impact: weekly summary
Results
In 6 months of operation:
- 847 regulatory changes detected
- Average detection time: 8.3 hours from publication
- False positive rate: 12% (improving with model retraining)
- Client feedback: "This replaced 2 FTEs of manual monitoring"
Graham Miranda is the founder of Graham Miranda UG (Berlin, HRB 36794), building compliance monitoring and automation tools.