AI assistant for your documents
An assistant that answers from your internal documents, cites the passages it used and says when the information is missing. A controlled alternative to using consumer tools on sensitive data.
Procedures, contracts, meeting minutes, technical documentation: the answer exists, but you have to know where to look. The same questions keep coming back to the same people.
Staff paste documents into an online assistant to save time. You want an equivalent tool whose sources, access and hosting you control.
In your line of work, an answer without a source cannot be used. The assistant has to show where each element comes from and say when it does not know.
The scope and deliverables are agreed together during scoping.
Start from one audience, one family of documents and frequent questions. A narrow, well-maintained scope is better than an exhaustive corpus that is poorly maintained.
Prepare the corpus, build search and citations, then measure the answers against the question set, including the questions the assistant must decline to answer.
Make the assistant available to a first group, track the questions left unanswered and decide which documents to add.
Every reference in a legal brief is checked against official sources, Légifrance (the official French legal database) and Judilibre (the French courts’ case-law database); a reference that cannot be found blocks generation. The same principle guides a document assistant: no answer without a verifiable source.
Read the case study : Plaidoria — sourced legal draftingIt is a conversational assistant, but limited to your documents and required to cite its sources. It does not answer on topics outside its corpus and does not replace a person when a decision is at stake.
That depends on the architecture chosen. With a model deployed in your own environment, the documents stay on your infrastructure; with an external service, the data sent, how long it is retained and the provider’s commitments are examined before choosing.
The Archiviste, on the French version of this site’s Work page, is a public example: it answers questions about the case studies and cites every passage it uses. For your case, a limited first scope lets you evaluate the answers on your own questions.
Mainly text documents: procedures, contracts, reports, documentation, meeting minutes. Scanned documents require a character recognition (OCR) step; tables and diagrams are examined case by case.
Next step
Describe the documents involved, the people who consult them and three questions they often ask. That starting point is enough to assess feasibility.
