A client with an urgent case found your website at midnight. A contact form answered.

An AI receptionist for a law firm answers the questions a prospective client asks before they call — do you handle this kind of case, is the consultation free, what areas do you cover, how do I book — the moment they ask, so a high-value enquiry doesn't hit a dead form and go to the firm that answered first. Traditionally that receptionist works the phone. Maya does the same job on your website, by voice or text, 24/7, in the visitor's own language, reading your own pages so the answers are accurate.

Last updated 2026-07-16

Where a phone receptionist stops

A receptionist answers the phone during office hours. But a serious legal problem doesn't keep office hours — the prospective client with an urgent matter researches at midnight, on the website, and increasingly decides whether to enquire without ever picking up the phone. That after-hours website traffic is a front door the phone receptionist never sees, and it's exactly where high-value cases quietly leak to a competitor.

Maya covers that front door. Once an assistant can answer the intake questions from your real content, capture the matter framed and ready for your team, and book the consultation — at midnight, in the client's language — "receptionist" is the small version of what it does. It's the intake layer that stops serious enquiries leaking to whoever answered first.

What Maya does for a law firm

It answers the intake questions the moment they land — at any hour — practice areas, whether you take their type of case, consultation options, how fees work, how to book — answered by voice or text from your own pages, the instant the prospect asks, even at 1am. The enquiry that used to hit a form gets a real response and stays.

The lead you get is the matter, not just a name — your intake team receives "potential client, employment dispute, was dismissed last week, wants to know if you take no-win-no-fee, asked for a callback tomorrow morning" — the meaning of the enquiry, framed and prioritisable, instead of a bare contact form. One after-hours case captured can be worth many times the monthly fee.

It greets each prospect in their own language, from the first word — a prospect whose device is in another language is met in it, no selector clicked. For firms serving diverse or cross-border clients, that first attentive moment is what keeps a serious enquiry on the page.

It books the consultation inside the conversation — a qualified prospect can book the consultation in the same conversation rather than being told to call back during office hours — captured while your team is out. (Booking plan and up.)

It never sends a prospect to a dead link — if a page moved or broke, Maya still gets the prospect to the right place rather than a 404 — so a high-intent visitor doesn't hit a wall at the worst moment and leave.

It tells you what prospects kept asking that your site doesn't address — the practice area people keep requesting, the fee question that keeps coming up — surfaced from your own traffic, so you know what to explain or expand.

What happens when Maya doesn't know the answer?

For a law firm this is non-negotiable, and Maya is built to respect it. Maya is a front-desk and intake assistant — it answers logistical questions and captures enquiries, and it explicitly does not give legal advice or create an attorney–client relationship. It identifies itself as an AI assistant on first contact, and checks its answers against your approved site content before responding. When it can't verify something, it says so instead of guessing, offers the prospect the right next step, and flags it for your team.

What that means for you: Maya never improvises a legal answer or a fee figure to satisfy a confident question — the kind of made-up answer that would create real exposure for a firm. Honest limit: its job is to get the right enquiries to your lawyers quickly, framed and ready; anything that calls for legal judgement, or any detail not on your site, it routes to a human rather than answering itself.