Make your laws executable.
A Digital Twin of Legislation (DTL) turns a statute and its legal sources into software that decides, calculates and explains itself — with every result traceable to the paragraph it came from. DTL Studio builds these twins with agentic AI, keeping humans in control.
Law is written for humans — but executed by software.
Every benefit, tax and permit today runs through IT systems that re-implement the law by hand: slowly, expensively, and without a verifiable link back to the legal text. When the law changes, systems lag behind for months.
Untraceable systems
Nobody can prove that the code in production still matches the paragraph in force.
Slow legislative cycles
From amendment to working IT implementation, public bodies routinely lose months or years.
AI without grounding
Generic chatbots answer legal questions without citations — unusable for sovereign decisions.
One twin per law — executable, semantic, cited.
A DTL consists of four layers: the verbatim legal text, a legal ontology, the configured parameters with their sources, and executable decision logic with tests. Each answer carries a derivation log that cites the applied provisions (ELI).
- Decisions computed by code generated from — and verifiably linked to — the legal text
- Every result explained in natural language with legal citations
- Published as REST API and MCP server, ready for portals, case-work systems and AI agents
- Built by agentic AI with human review at every step
From peer-reviewed research to working software.
The DTL approach is published at venues such as SEMANTICS, JURIX and IRIS, and is engineered by the team behind “The Self-Driving Company” and “The Self-Driving State”.
See it on your own statute.
In 30 minutes we build the outline of a Digital Twin from a law you choose — live.