I am a German-qualified lawyer, former data scientist and partner at gunnercooke. I build practical legal and regulatory workflows for technology and regulated-market teams: contracts, privacy, AI governance, legal operations and human-reviewed automation.
I advise founders, product, commercial and legal teams on AI governance, commercial contracts, DPAs, model-provider terms, privacy, regulated-customer requirements and product launch risk. I also build workflow patterns behind that advice: structured intake, reusable templates, deterministic checks, AI-assisted research and human review gates.
The repositories below are public-safe versions of patterns I use or develop in my practice. They use synthetic data only. They contain no client data, privileged material, confidential information or personal data.
My work sits at the intersection of AI, financial regulation, privacy and commercial legal work. I help teams turn regulatory ambiguity into product and go-to-market decisions: launch conditions, customer disclosures, contract positions, privacy posture, vendor controls, regulated-customer requirements and documented risk positions.
I am especially interested in legal systems that make advice faster and more consistent without losing accountability: self-serve where appropriate, escalated where necessary and evidence-backed either way. AI is used only behind explicit controls and human review.
| Area | Repository | Pattern |
|---|---|---|
| AI, SaaS and legal operations | AI SaaS Legal Ops Starter Kit | Legal operating layer for technology companies: contract intake, DPA and privacy triage, AI vendor review, open-source licence checks, launch governance and risk reporting. Includes public-safe commercial and privacy playbook patterns for MSA deviations, DPA triage, SCCs, CCPA, AI vendor terms, data-retention positions and open-source licence risk. |
| AI agents and human review | LegalOps Agent | Supervised legal-operations workflow: typed intake, deterministic risk triage, reviewer routing and human approval gates, exposed through MCP tools. |
| AI governance | EU AI Act Classifier | Deterministic EU AI Act classifier with risk tiers, obligations, pinpoint citations, review gates, CLI and MCP server. |
| Regulated product work | MiCAR Authorization Co-Pilot | Full-stack review-gated drafting workflow with verified sources, scoped access, redaction, audit logs and human-approved export. MiCAR is the worked case; the pattern is regulated product work. |
| Regulatory monitoring | EU Financial Reg Horizon Scanner | Source-verified regulatory horizon scanner with ingestion, classification, impact scoring, reviewer queue and approved delivery. |
| Regulation as code | MiCAR Whitepaper Linter | Deterministic MiCAR white paper linter with Annex I, II and III checks, severity-ranked findings and pinpoint citations. |
- Partner at gunnercooke in Germany, advising on AI, SaaS, crypto, capital markets, payments and EU financial regulation.
- Trained at Hengeler Mueller, Freshfields Bruckhaus Deringer and Cleary Gottlieb. German-qualified lawyer, admitted 2012.
- Former data scientist at Dudenverlag, building Python NLP pipelines.
- Languages: German native, English fluent, French professional working knowledge.
- Open-source interaction with dust-tt/dust: submitted a JS SDK documentation fix for AbortError detection and raised a product/legal infrastructure issue on audit-log events for human approval gates.
Python, TypeScript, Next.js, FastAPI, Pydantic, Postgres, pgvector, GitHub Actions, Docker, MCP, structured outputs and evals.