Legal clients who don’t speak English well face two bad options: struggle through an English intake and lose the details that decide a case, or wait days for an interpreter while the matter stalls. Neither serves the client or the firm.
One intake, two languages — and the privacy step sits in the middle, before any AI is involved.
The client opens the intake on your website and answers in their own language — plain questions, one at a time, no forms.
The assistant runs the whole intake conversation in the client’s language, checking the answers make sense and filling the gaps.
Before any AI processing, names, addresses and identifiers are removed server-side — the model never sees who the client is.
Your caseworker or lawyer opens a structured English case file — facts, timeline, parties, what’s missing — ready for the first appointment.
The client picks their language at the start. Whatever they choose, your team receives the file in English.
You serve culturally and linguistically diverse (CALD) communities, but interpreter availability throttles your intake and details get lost at first contact. Clients intake in their own language; your caseworker opens a structured English case file — no interpreter needed just to find out what someone needs.
For community legal centresYour highest-volume clients often don’t speak English well, and an interpreter at the first call is slow and costly — so good matters slip away. The client tells their story in their language; a qualified English matter file is in your inbox before the first call.
For law firms Personal injury intake Immigration intakeIntake in any language is exactly as private as intake in English. The client’s personal details are stripped on our server before any AI sees them, the data is processed transiently and permanently deleted on delivery, and it runs on your own AI key. A client intaking in Somali is as protected as one intaking in English. See the full architecture →
The client selects their language at the start of intake. Everything from that point — questions, answers, document prompts — runs in that language.