Region-specific legal AI, grounded in the text.
Legajos answers a question of a body of law in plain language and grounds the answer in the actual text, with verbatim citations down to the article and clause. It is built first for Argentine hydrocarbon and concession law, national and provincial, and it is designed to be re-pointed at any jurisdiction.
The law that governs a concession is scattered, layered and decades deep.
The text that controls a concession is spread across national statutes, provincial laws and decrees, amended over decades. Finding the controlling norm and citing it correctly is slow and error-prone, and a wrong citation undermines the work that rests on it. Legajos retrieves the controlling norm and quotes it, so the answer points back to the text it came from.
Retrieve, quote, reason, cite.
A question maps to the relevant national statutes, provincial laws and decrees that actually govern it. Legajos pulls the controlling text rather than paraphrasing from memory.
The answer carries the controlling text word for word, cited down to the article and clause, so a reader can verify it against the source instead of trusting a summary.
It situates each norm in its place, national above provincial, statute above decree, and flags where a later law modifies or repeals an earlier one so the answer reflects the law as it stands.
Every claim is anchored to a source. The voice is that of a technical-legal consultant, answering in Spanish, neutral and precise, never inventing a citation to fill a gap.
One engine, a corpus per jurisdiction.
Each jurisdiction is its own corpus and its own namespace, so the same engine resells to other provinces and other bodies of law without rebuilding it. The corpus is built from authoritative source text rather than lossy scans, which is why a citation can be trusted down to the clause. Our consensus extraction work informed how the corpus is assembled, and that capability is described under our consensus extraction product.
Every jurisdiction is loaded as its own body of source text, isolated from the others so answers cite only the law that governs it.
Retrieval is scoped to one jurisdiction's namespace, which keeps a provincial answer provincial and makes the deployment portable to the next region.
The corpus is built from the real statutes and decrees, not from guessed-at scans, so an Artículo 7 is Artículo 7 and the citation holds.
Built for the bodies that answer to the law.
Legajos is built first for a provincial ministry of energy evaluating it for concession-law analysis, and for any organization that must answer questions against a fixed, citable body of regulation. Wherever the work depends on naming the controlling norm correctly, the citation is the deliverable.
Each jurisdiction is its own corpus and its own namespace. The same engine re-points to another province or another body of law without a rebuild. This is the product strategy, not a later convenience.
The corpus is built from authoritative source text, not from lossy scans. An Artículo 7 reads as Artículo 7 and not a number an OCR engine guessed at.
Legajos answers in Spanish, in the register a technical-legal consultant would use, grounded in the actual statutes rather than a generic translation of the question.
The text that governs a concession is spread across national statutes, provincial laws and decrees amended over decades. Legajos finds the controlling text and quotes it instead of leaving the search to the reader.
The goal is an answer a lawyer can check, with the source clause in hand. Confidence comes from the citation, not from the tone of the response.
Because the corpus and namespace are per region, a deployment for one ministry becomes the template for the next province or regulator with new source text and the same engine.
Ask the law a question. Get the clause back.
Legajos is deployed and access-gated. See it answer questions against your own body of regulation, with citations down to the article and clause.