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Add: libraries are composable Python packages, embeddable in custom applications (via update-page on MediaWiki MCP Server)
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| [[Architecture]] || How the pieces fit together — kernel, drivers, pipeline, services
| [[Architecture]] || How the pieces fit together — kernel, drivers, pipeline, services
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| [[:Category:Corpus|Corpus]] || The data model — schema, tags, edges, quality, temporal versioning, FTS
| [[Corpus]] || The data model — schema, tags, edges, quality, temporal versioning, FTS
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| [[:Category:Sources|Sources]] || Data dictionary — one page per ingest source, coverage matrix
| [[Sources]] || Data dictionary — one page per ingest source, coverage matrix
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| [[:Category:Jurisdictions|Jurisdictions]] || Legal systems we cover and how they map to the unified schema
| [[Jurisdictions]] || Legal systems we cover and how they map to the unified schema
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| [[:Category:MCP|MCP]] || The public API — tools, safety guidelines, reference resolution
| [[MCP]] || The public API — tools, safety guidelines, reference resolution
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| [[:Category:Development|Development]] || For contributors — coding conventions, testing, packaging
| [[Development]] || For contributors — coding conventions, testing, packaging
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| [[:Category:Design decisions|Design decisions]] || Architectural decision records
| [[:Category:Design decisions|Design decisions]] || Architectural decision records (coming soon)
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Latest revision as of 02:24, 23 April 2026

Dura Lex is an open-source operating system for legal data.

It structures public legal data — legislation, case law, company registries, administrative guidance — into a jurisdiction-agnostic corpus, queryable by AI agents via MCP and by humans via a web portal.

A jurisdiction-agnostic kernel, jurisdiction plugins (France and EU today, designed for any country), a robust ingestion pipeline, and services on top. The schema follows the OpenStreetMap model — six universal structural kinds, JSONB tags, zero schema migration to add a jurisdiction.

Everything is published as Python libraries (MIT). The kernel, the corpus protocol, the jurisdiction drivers, the ingestion framework — all are composable packages that can be embedded in any application. Use the MCP server as-is, or import the libraries directly to build your own legal data product.

Software licensed under MIT. Enriched data licensed under ODbL.

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Section Description
Philosophy Why Dura Lex exists — safety, transparency, sovereignty, professional secrecy
Architecture How the pieces fit together — kernel, drivers, pipeline, services
Corpus The data model — schema, tags, edges, quality, temporal versioning, FTS
Sources Data dictionary — one page per ingest source, coverage matrix
Jurisdictions Legal systems we cover and how they map to the unified schema
MCP The public API — tools, safety guidelines, reference resolution
Development For contributors — coding conventions, testing, packaging
Design decisions Architectural decision records (coming soon)

Current data

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France is the first implementation. The architecture is designed for any jurisdiction.

Jurisdiction Data Volume
France Court decisions 3.4M
Legislation articles 1.8M
Collective agreements 299K articles + 382K enterprise agreements
Administrative doctrine 9.6K
Companies 24.2M
Directors 15M
Cross-citations 4.4M links
EU CJEU decisions
ECHR decisions
EU legislation (regulations, directives, decisions)

License

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Code: MIT. Data: ODbL.