Built on published research.
Digital Twins of Legislation are not a marketing label — they are an active research program on legal ontologies, automated decision-making and self-driving governance, published at international venues.
Key papers on the DTL approach.
Reducing Administrative Burden by Automating the Translation of Administrative Law Into Digital Twins of Legislation
isAI — JSAI International Symposium on Artificial Intelligence, 2026 — a semi-automated pipeline that turns statutory provisions into testable, executable twin bundles.
Read the paper →Digital Twins of Legislation for Explainable Automated Decision-Making in Administrative Law
How legislative twins synchronize legal text, semantics and executable decision logic for explainable, lawful automation in public administration.
Read the paper →Towards a scalable Architecture for Legal Ontologies integrated into Digital Twins of Administrative Law
SEMANTICS Developers Workshop, 2025 — the layered DTL architecture and its semantic foundation.
Read the paper →Enhancing automated decision-making in administrative law through digital twins
Legal Knowledge and Information Systems (JURIX), 2025 — how twins improve lawful automation.
Read the paper →The Self-Driving State — Automated Decision-Making in Modern Governance
IRIS — International Legal Informatics Symposium, 2025 — the governance model for autonomous administration.
Read the paper →The Self-Driving Company: A Conceptual Model for Organizations of the Future
Springer, 2023 — the operating model for fully automated organizations.
Read the paper →Das selbstfahrende Unternehmen: Ein Denkmodell für Organisationen der Zukunft
Springer Gabler, 2021 — the original thinking model behind agentic automation.
Read the paper →Research you can run.
DTL Studio is the engineering consequence of this work: the published architecture — legal text, ontology, configuration, logic — is exactly what the product generates, reviews and publishes.
Discuss the science behind it.
Book a session directly with the author of the DTL research program.