Clauses and risk flags,privilege intact.
Particula-Legal pulls key clauses out of contracts and flags risk against your playbook, with a citation to the exact language on every flag. On-prem by design: no third party touches the document and privilege stays intact.
One job, done to spec.
Here is the spec.
Everything below is work the model handles on its own, with no wrapper, no retry loop, and no second call out to a larger model when it gets stuck.
Clause extraction
Liability caps, indemnities, termination, assignment, and governing law from MSAs, NDAs, leases, and vendor paper.
Risk flags against your playbook
Encode your standard positions once. The model flags deviations and missing carve-outs, not generic boilerplate warnings.
Privilege-safe by design
Runs on-prem with no external calls, so review work product never touches a third party and privilege arguments stay clean.
A citation on every flag
Each flag links to the exact clause language it came from. Counsel verifies in one click instead of re-reading the document.
Context, latency, hardware,
and what it takes to run.
The numbers a capacity plan actually needs. Sizing gets reviewed against your traffic before the pilot, and the figures go into the agreement in writing.
From first call to production
without a rewrite.
Three steps, and you keep the weights at the end of them. Nothing about the rollout depends on us staying in the loop afterwards.
- 01
Discovery call
30 minutes, no slides. Your task, your data shape, and the security constraints around it. If this model is the wrong fit, we say so on the call.
- 02
Pilot install
Containerized deployment to staging in your VPC or on-prem, on the same stack as Lumen and Notetaker. The eval harness runs on your data and the numbers go into the pilot agreement.
- 03
Production rollout
Runbook handoff, operator training, and 90 days on call. After that it is yours to operate, no vendor dependency.
Five others share
this runtime.
They run on the same serving stack, the same deployment path, and one API, so licensing a second model adds no operational surface.
“Bring a hundred real examples from your pipeline. We run the model on them live, the harness scores the output in front of you, and you decide with numbers instead of a sales deck.”