DTL Studio: your agentic pipeline to executable law.
DTL Studio supports your experts with agentic AI to turn legal text and its legal sources into Digital Twins of Legislation — automated where machines excel, human-reviewed where judgment matters.
Agents draft. Humans decide.
Every step of the pipeline pairs an AI agent with a human reviewer: agents retrieve sources, propose twin candidates and generate the four layers; your experts steer with intent, edit every artifact, and approve what gets published.
Source retrieval agent
Finds the dependent regulations, case law and administrative guidance a statute relies on — with stable ELI identifiers.
Proposal agent
Scans sources for operationalizable rules and proposes scored DTL candidates with cited passages.
Layer generation agents
Generate legal text, ontology, configuration and tested decision logic — each layer reviewable and editable.
Runtime
Publish with one click: REST API, MCP server with decision, getSemantic and explainDecision tools, full call log, access control.
Enterprise-grade by default.
- Microsoft Entra ID authentication and per-twin access control (offline / private / public)
- Immutable versioning: every change creates a citable snapshot; runtimes are pinned to published versions
- Sandboxed execution of generated logic with hard timeouts
- Automatic interface specification — queryable as JSON and as a machine-readable ontology (Turtle)
- Source update monitoring: the twin flags when the underlying law changes
- Generation output in 7 languages, configurable per user and per project
Pre-market access is open — for a limited group.
Register for the tech partnership and work with DTL Studio before the market does.