RAG & Knowledge Retrieval for Legal Services

Permission-aware retrieval is not optional in an enterprise. If a user cannot open a document in SharePoint, the assistant must not quote it. We enforce that at the retrieval layer, not in the prompt.

In legal services, privilege and confidentiality mean data handling is scrutinised more than model performance. That single fact reshapes how rag & knowledge retrieval has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is billing narrative drafting, usually integrated against e-discovery platforms. We start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong.

Multi-model by default, so a provider outage is a routing decision rather than an incident. We hand over with runbooks, tests and a team that knows how it works, not a dependency.