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sebastianfoerste/README.md

Sebastian Förste

German-qualified lawyer, partner at gunnercooke, former NLP data scientist. My practice is EU financial regulation.

Evaluate

contract-review-eval-harness scores AI contract reviews against hand-authored NDA, SaaS and DPA answer sets: clause coverage, risk severity, citation grounding and hallucinations. Playground.

Enable and measure

Regulatory toolkit

Boundaries

All examples are synthetic, except MiCAR register data and the linter's pilot study, which use public sources. Prototypes with source provenance and audit trails, not claims of production deployment. This is not legal advice; no tool permits consequential external action without human review. AI assisted coding, drafting and research; rule taxonomies, citations, answer sets and scope limits are my judgment.

Background

Since 2024 I have recruited 25 lateral partners for gunnercooke Germany.

Admitted in Germany in 2012. Trained at Hengeler Mueller, Freshfields Bruckhaus Deringer, and Cleary Gottlieb. Earlier, Python NLP pipelines as a data scientist at Dudenverlag.

Questions on legal AI or EU financial regulation: LinkedIn

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  1. contract-review-eval-harness contract-review-eval-harness Public

    Scores an AI contract review against lawyer-written answer sets: did it find the clauses, grade the risk correctly, quote real text and avoid inventing anything. Synthetic contracts.

    Python 2

  2. legal-function-operating-system legal-function-operating-system Public

    How an in-house legal team runs: intake, risk bands, routing, SLAs, approvals and a board-ready report, with a supervised agent behind review gates. Synthetic data only.

    Python 2

  3. micar-whitepaper-linter micar-whitepaper-linter Public

    Checks a draft crypto-asset white paper against the Parts of MiCAR Annexes I to III and reports each candidate gap with its citation. Browser playground, CLI and GitHub Action.

    Python

  4. eu-ai-act-classifier eu-ai-act-classifier Public

    Works out which EU AI Act risk tier an AI system falls into and lists the obligations that follow, each with its article. A lawyer confirms the result.

    Python 1

  5. legal-ai-adoption-dashboard legal-ai-adoption-dashboard Public

    Shows whether a legal AI rollout is working: account health, what blocks adoption, and user friction routed to product feedback. Synthetic data, live demo.

    TypeScript 1

  6. awesome-eu-fintech-regulation awesome-eu-fintech-regulation Public

    A curated list of primary sources, regulators, and open-source tools for EU financial regulation: MiCAR, DORA, MiFID II, PSD2, and the AI Act in financial services.

    2 1