Legal intake is decided on the phone, usually within the first hour, and usually by whoever answered. A prospective client with an urgent matter calls three firms. The one that picks up gets the matter. Ava is the one that picks up.
Intake is decided by whoever answered. This is the order the enquiry moves through, and where each of the four takes it.
Matter type, timeline and contact details are captured, enough is asked to sort a matter worth a fee earner’s hour from one that is not, and the consultation is booked into the right diary.
Matter capturedProcedural questions about how the firm works, what happens next and what to bring, answered consistently rather than by a chain of emails.
No hour spentLegal decisions stall. Contact is maintained through them across SMS and email, without anybody having to diarise it.
Still in touchClient queries answered in the window where the answer still matters, closing the response-time gap after the matter is opened.
Gap closedAva takes the call at 7pm, on a Saturday, and during the hearing you are sitting in. She captures the matter type, the timeline and the contact details, and books the consultation into the right fee earner’s diary.
Not every call is a matter you want. The intake conversation captures enough to sort the enquiries worth an hour of a lawyer’s time from the ones that are not — before that hour is spent.
Legal decisions stall. Tessa maintains contact through the weeks between the first call and the engagement letter, without anybody having to diarise it.
Generic voice AI fails in specific ways in every industry. These are the three that matter in law practices, and how they are handled during setup.
The AI captures information and books time. It does not opine on a matter, and the boundary is defined by you during setup rather than discovered later.
Anything that touches a conflict check, a limitation date, or a distressed caller routes straight to a named person with the transcript attached.
You define what the AI must never handle alone. Anything past that line is routed to a named person with the full transcript attached, rather than being guessed at. Human oversight is a design requirement, not a fallback.
Setup is $3,000 per AI Employee, or $10,000 for four under the Go All In plan. Published on the pricing page, not held behind a form.
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Bring your call log to the call and we will work through your actual numbers rather than an industry average.
Book my demoOr call +1 813-252-1961 directly. See all industries.
