AI safety evaluations · a legal-alignment lens
“…developing frameworks to assess whether frontier AI systems behave consistently with constitutional norms, due process, and rule-of-law principles.”
Law is one of our richest computable records of human values — and I built the open standard (and knowledge graph) that makes it legible to machines.
The “legal oracle” — where this could serve Anthropic’s mission
- A capable agent acting across jurisdictions will routinely brush against the law — and each law encodes a jurisdiction’s human values. So aligning AI to human values includes aligning it to human laws.
- For years, I've been building the missing piece: tag all the law (e.g., EU law, Texas law) into a deterministic, computable knowledge graph of legal rights, obligations, prohibitions, and other deontic specifications.
- An agent can then traverse that graph as a “legal oracle” — in real time, on CPUs, not GPUs — to check whether a contemplated action would violate the law (and thus the human values) of the relevant jurisdiction. EU values differ from Texas values; SALI/FOLIO normalize them all, with a Venn of shared vs. outlier values.
- And beyond law, into ethics: we're extending the same machinery to faith traditions — tagging Christian (e.g., the Catholic Semantic Canon), Jewish, and Sharia texts.
Tools I've built with Claude — all free, all open source
- FOLIO Enrich — classifies every legal document and its contents into a knowledge graph (the way Google maps things, Meta maps social, Amazon maps products) — for everything that matters to the substantive law and the business of law, worldwide.
- FOLIO Mapper — maps any organization's existing taxonomy (law firms, corporate legal departments, governments) onto SALI/FOLIO, the comprehensive standard I built.
- OntoKit — lets anyone improve and expand ontologies and knowledge graphs: FOLIO (the legal standard) and the Catholic Semantic Canon (an ethical/moral standard built on FOLIO).



