๐๐ง๐จ๐ญ๐ก๐๐ซ ๐๐๐ฒ, ๐๐ง๐จ๐ญ๐ก๐๐ซ ๐๐๐๐๐: ๐๐๐๐ ๐๐๐ ๐ข๐ญ๐ข๐ฆ๐๐ญ๐ ๐๐ง๐ญ๐๐ซ๐๐ฌ๐ญ ๐๐ฌ๐ฌ๐๐ฌ๐ฌ๐ฆ๐๐ง๐ญ - ๐๐ซ๐จ๐ฆ ๐๐ข๐ซ๐๐๐ญ ๐๐๐ซ๐ค๐๐ญ๐ข๐ง๐ ๐ญ๐จ ๐๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ .
2,327 lines. 10 files. Every major source encoded:
โ EDPB Guidelines 1/2024 (three-step test)
โ EDPB Opinion 28/2024 (AI models + legitimate interest)
โ The brand-new EDPB OSS Case Digest by Dr. TJ McIntyre (62 decisions + 5 binding decisions)
โ CNIL AI guidance (June 2025) on web scraping + LI
โ ICO guidance including the new UK "Recognised Legitimate Interest"
โ 12 CJEU judgments from Meta to KNLTB to SCHUFA
โ National DPA positions from DE, FR, NL, AT, IT, ES
โ German DSK, Hamburg, Bavaria, Baden-Wรผrttemberg guidance
What it does: Walk through the full Art. 6(1)(f) assessment: from pre-assessment gates through the three-step test to a documented LIA output (docx file). With real enforcement patterns baked in. Not theoryย but grounded in what DPAs actually decided.
โ
๐๐ฎ๐ญ ๐ก๐๐ซ๐'๐ฌ ๐ญ๐ก๐ ๐๐ข๐ ๐ ๐๐ซ ๐ฉ๐ข๐๐ญ๐ฎ๐ซ๐.
I'm building toward a modular skill library where each skill encodes deep domain expertise for specific compliance tasks.
One skill = one task, done at expert level.
Chain them = complex compliance workflows, automated.
Equip an agent (squad) with the right skills = the work gets done at practitioner level.
That's what turns a general-purpose LLM into a domain expert. Not the model itself, the encoded expertise you give it.
The end state? Specialized Claude Code agents each loaded with the skills they need, handling the grunt work of GDPR, AI Act, NIS2, and other digital regulation compliance. The assessments. The documentation. The monitoring.
So skills/agents will not replace the lawyer but the time-consuming manual labor that keeps the lawyer from doing what actually matters: judgment, strategy, client counsel.
The Legitimate Interest Assessment skill is available on Lawve AI as part of my growing compliance skills library.