AI for regulatory and legal knowledge queries in sector federations

AI for regulatory and legal knowledge queries in sector federations

FEDOP, the Spanish Federation of Orthotists and Prosthetists, worked with Crata AI on an AI assistant that centralizes the sector's documentation and regulations and lets the team query them in natural language. The system cut legal query resolution time by 60% to 80% and delivers answers with more than 85% accuracy.

Legal knowledge that was hard to consult quickly

FEDOP is the Spanish Federation of Orthotists and Prosthetists, based in Madrid, bringing together the regional orthopedics associations of the sector. That legal and regulatory knowledge, so valuable to the sector, rested largely on the know-how of a few specific people.

That legal and regulatory knowledge, so valuable to the sector, rested largely on the accumulated experience of specific people. With specialized knowledge concentrated in a few hands, preserving it and making it available to the whole team became a priority for a federation whose value is precisely that knowledge.

At the same time, resolving each internal query meant tracking down the relevant documentation and regulations across many sources, work that held things up. The federation wanted that knowledge to be easy for anyone on the team to consult, and no longer dependent on a handful of specialists.

An AI assistant that centralizes knowledge and answers in natural language

With Crata AI, FEDOP implemented an internal legal assistant that centralizes the sector's documentation and regulations and lets the team query them in natural language, supporting legal questions and preserving the federation's knowledge.

The assistant gathers and indexes the scattered documentation, understands the team's questions however they're phrased, and grounds every answer in the internal sources. That way sector knowledge no longer rests on a few individuals and stays available, current and easy to consult for the whole team.

The assistant covers the full query cycle:

  • Centralizes and indexes the sector's documentation and regulations.
  • Answers legal questions phrased in natural language.
  • Finds the relevant information through semantic search.
  • Grounds every answer in the federation's internal sources.
  • Keeps the knowledge base up to date.
Turn your organization's knowledge into instant answers

When key knowledge lives in a few people, preserving and consulting it becomes hard. At Crata AI we build assistants that centralize your documentation and answer in natural language, traceable back to the source.

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60-80%
Less resolution time
on legal queries compared with the manual process
>85%
Answer accuracy
when resolving legal queries using the internal sources
>90%
Documentation indexed
of the sector's key regulations and documentation

The technology behind the legal assistant

The assistant combines several layers of artificial intelligence working together to centralize the documentation, understand the queries and answer using the internal sources.

  • Large language models (LLM): interpret the team's queries and generate the answers.
  • RAG (retrieval-augmented generation): connects the model to the internal documentation so each answer draws on the right source.
  • Vector database: organizes the documentation so it can be retrieved by meaning in each query.
  • Document processing: reads and structures the documentation and regulations so they are ready to consult.
  • Conversational assistant: lets the team ask in natural language and get direct answers.
  • Python: orchestrates the document processing and the logic that connects each layer of the assistant.

If your team is exploring AI for knowledge management and regulatory queries, Crata AI can help you design it.

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