A usable compliance pack is an engineering artefact with a legal review, not a slide deck. This is the package LMXAI produces for teams shipping LLM, RAG and agent systems in the EU.
An EU AI Act compliance deliverable is the set of artefacts that let you operate an AI system in the Union now that the high-risk framework has applied since 2 August 2026, without guessing. It answers four questions in writing: what the system is, which risk tier it falls in, which articles apply, and which evidence you can show — logs, evals, human-oversight design and a technical file — if a market-surveillance authority asks.
A law firm can interpret the text. It cannot produce the logging pipeline, the evaluation set or the deployment diagram. LMXAI’s deliverable is the engineering half of that pair. For the legal landscape itself, see the practical EU AI Act guide.
| Workstream | Law firm | LMXAI deliverable |
|---|---|---|
| Legal interpretation | Primary | Consumed, not replaced |
| System inventory | Interview notes | Tied to repos, endpoints and models |
| Technical file | Template | Filled from the running system |
| Art. 12 logging | Requirement text | OpenTelemetry / gateway design |
| High-risk controls | Policy language | Eval, fallback, human gate in the graph |
It is not a CE-marking factory for every Annex III system, and it is not a substitute for notified-body work where that is required. It is also not “we used an EU cloud, therefore we are compliant.” Residency helps GDPR. The AI Act cares about risk, documentation and operational control.
When to commission this: you already have a prototype or a Copilot-class rollout, and legal has asked “are we a provider?” LMXAI runs the classification and the evidence map in weeks, then stays on to implement the gaps — logging, eval, sovereign serving — as the same partner.
The same traces that satisfy Article 12 are the traces you need to debug a RAG agent. The same model card that feeds Annex IV is the card you need to swap vLLM weights without losing the plot. Compliance work that is detached from the serving stack becomes fiction the first time the model is updated.
Next step. If this is the decision in front of you, LMXAI will scope the system — not a workshop series.