The problem. A compliance team needs to confirm the current, correct version of a regulation, standard, or internal policy before signing off on a decision — often under time pressure. Outdated versions of the same document circulate alongside the current one, in email threads, shared drives, and printed binders, and nothing at the point of search tells the reader which one they are looking at. Getting this wrong is not just slow, it is a real liability.
The solution. A governed AI search system is scoped to only the compliance team's approved document set, with version control built in: when a policy is superseded, the old version is retired from the index rather than left to compete with the new one. Every search and every retrieved answer is logged, with a timestamp and a citation to the specific clause, so the compliance team has a defensible record of what was consulted and when — not just a faster answer, but an auditable one.
The outcome. Compliance staff get a fast, defensible answer instead of a manual cross-check across multiple document sources. The risk of acting on a superseded policy drops because outdated versions are removed from the index rather than sitting alongside current ones. And because every query is logged, the system produces its own audit trail as a byproduct of normal use.
Microsoft's own legal team faced this exact problem internally — understanding and acting on regulatory change fast enough — and worked with EY Law to build a GenAI-powered assistant on Azure OpenAI Service and Semantic Kernel to help. According to Microsoft's own engineering write-up, the tool moved from hackathon prototype to a pilot inside the legal department, aimed at significantly cutting the time needed to understand and act on regulatory compliance requirements.
