RAG Systems · Law Firms
RAG Systems for Law Firms
A RAG system built for law firms.
Legal research is the clearest case for retrieval-augmented generation, and the least forgiving. Every proposition must trace to a real source a fee earner can open and verify. We build retrieval over your matter archive, precedent bank, and statutory sources with citation grounding enforced at generation.
Built by VelvoAI, an independent AI systems studio. One engineer scopes and writes every system.
What the system does
- Every claim
- Grounded
- Search strategy
- Hybrid
- Retrieval accuracy
- Measured
Use cases
What this handles for law firms
An uncited legal answer is worse than no answer.
- Search the full matter archive semantically rather than by filename and date
- Retrieve precedent clauses and prior drafting from comparable matters
- Answer research questions with pinpoint citations to the source passage
- Surface the firm's own prior positions on a point before advising again
Research that starts from the firm's existing work product, with every claim traceable to a document.
How it runs
Day to day for law firms
A fee earner needs the firm's own position on a question, not a general answer. Retrieval runs over the matter archive, precedent bank and internal know-how, with permissions applied inside the query so a matter nobody is cleared for is never a candidate. Every proposition comes back with the passage it came from, because an answer a fee earner cannot verify is an answer they cannot use.
- S.01The matter archive and precedent bank as the corpus
- S.02Clio or LEAP for matter boundaries and access rights
- S.03Citation back to the source passage on every claim
- S.04An evaluation set of real questions with known-correct sources
- The systemRAG Systems
Go deeper
The service and the sector, in full
- 01 · How it is builtRAG SystemsHow every build is approached, what ships with an engagement, and the stack behind it.
- 02 · Sector contextAI for Law FirmsWhat slows law firms down, and every system VelvoAI builds for the sector.
RAG Systems for Law Firms — questions
01How do you enforce matter-level confidentiality?
Access is applied during retrieval, so a user's query only ever searches matters they are cleared on. Ethical walls are configured explicitly and every query is logged. Filtering after generation is not acceptable here, because the content has already reached the model.
02Can it work across our document management system?
Yes. iManage, NetDocuments, SharePoint, and file shares all index, and permissions are inherited from the source system rather than reconstructed by hand.
Same capability
RAG Systems in other sectors
Same sector
Other systems for law firms
- Written by
- Usman Ali, Founder
- Last reviewed
Next step
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