A clinic carries two jobs at once — teaching students and serving real clients — on a term calendar and a thin supervision budget. PROVEAiBLE runs first-pass client intake before the supervision: every matter arrives redacted, structured and consistent, in the client’s own language. Students spend their hours on legal reasoning and advice; supervisors spend theirs on teaching, not chasing facts.
The first 30 minutes of a clinic appointment usually goes to "when did this start, who’s involved, what have you got?" PROVEAiBLE does that beforehand, so supervision time is spent on analysis, strategy and feedback — the things students actually need to learn.
Every student’s matter arrives in the same structured shape — facts, timeline, parties, issues, documents, what’s missing. Easier to supervise, fairer to assess, and a model of good file-craft students can learn from.
Clinics serve the clients others can’t. The intake runs in the client’s language and the file arrives in English — no interpreter needed just to open a matter. More on multilingual intake →
Identifying details are redacted server-side before any AI sees them, with a client consent record attached. Students see confidentiality done properly — and your clinic can show its university and DPO the architecture.
Every intake opens with a conflict-of-interest check — captured for the clinic, never sent to the AI. Good practice for the clinic, and a habit worth teaching.
Intake keeps running between teaching blocks, over breaks and overnight — so matters don’t bank up waiting for the next clinic day, and the new cohort starts with a clean, ready queue.
We’ll stand up a demo themed to your clinic and one of your matter types, and walk your director and supervisors through it. We scope clinic pricing with you on a call — it flexes to your clinic’s size and the matter types you handle. The build is hands-on and runs on your own AI account.
See pricing & pilot →We recommend Claude via Anthropic’s API — your key, your control. How we handle data →