Agentic legal workflows.
Every privileged byte stays in the firm.
Four legal agents running live on a mesh of Intel AI PCs the firm already owns — open-weight models spread across a room of machines, the heaviest synthesis pipeline-parallel across two. Draft contracts, deal documents, and privileged work product never leave Dentons' walls or its jurisdiction. Every step shows the serving node, its latency, and a signed receipt — open the live routing dashboard side-by-side and watch the requests land in the room, not the cloud.
A target's data room is a stack of independent documents — so the review fans out. Watch a single node work through an M&A data room document by document while the mesh reviews them all at once, then both reconcile into the same deal-issues memo. The gap is the fan-out alone — and it widens with every Intel AI PC the firm adds to the room.
Every AI tool the firm runs today still infers in someone else's datacenter. Cascadia runs on hardware Dentons already owns — in the office, in-jurisdiction, reachable by no foreign subpoena. See exactly where on-prem fills the gaps the current stack leaves open.
Model the cloud-API spend this workload avoids across a fleet of AI PCs — with break-even and payback, and a declining cloud-price curve so the numbers stay honest.
| qwen3-8b | single node | extraction · classification · adjudication · QA gates |
| llama-8b-2stage | pipeline-parallel × 2 AI PCs | long-form synthesis, streamed live off the chain |
| phi-3.5-mini | single node | JSON repair rung · gate fallback |