AI customer support for law firms
People contacting a solicitor are usually anxious and are asking process questions, not legal ones: what this costs, how long it takes, whether the first conversation is confidential. Those answers are on your website and RubyRep can give them instantly — while refusing, by design, to do anything that looks like advice.
What law firms deal with
Enquiries arrive out of hours from people who are worried and will ring the next firm if nobody responds.
Fee structures are complex, and a vague answer loses the client while a wrong one is a complaint.
Fee earners spend chargeable time answering the same three questions about process.
How RubyRep works for law firms
Fee structure, funding options and typical timescales answered from your published pages.
Confidentiality and first-appointment questions answered at the hour someone is worrying about them.
Enquiries reach you already knowing what you charge and how you work, so the first call is about the matter.
The knowledge comes from pages you already publish:
- Fees, funding and cost-information pages
- Practice-area and service pages
- Complaints procedure and regulatory information
- Team profiles and areas of expertise
Questions your visitors actually ask
- “How much does a first consultation cost?”
- “Do you offer no win no fee?”
- “How long will my case take?”
- “Is what I tell you confidential?”
- “Do you handle cases in my area?”
RubyRep for law firms
- Will it give legal advice?
- No, and the boundary is the point. It answers from pages you have published about how your firm works — fees, process, timescales, coverage — and it refuses anything about a person's own situation, handing that to a fee earner. Every answer cites the page it came from, so what it said and why is auditable.
- What about regulatory requirements on cost information?
- Automating answers does not change what you must publish. It makes the omissions visible faster, because a question your cost-information page does not answer shows up as a refusal you can read.
- Can it screen enquiries?
- It can answer coverage and practice-area questions, so enquiries about work you do not take get an honest answer rather than a call. Whether a matter is one you want is a judgement for a person.
Related
tool
Website support score
Scores a website on how well it could support customers — and how well an AI representative trained on it would perform. Five dimensions, a total out of 100, and the specific gaps behind the score.
tool
Website FAQ generator
Reads your website, extracts any FAQ content already published, and drafts the questions your pages answer but never state as questions. Output is copy-paste ready.
use case
Qualify enquiries before they reach your team
The fastest qualification is honest information, early. When a visitor can find out your minimum project size or which regions you serve without booking a call, the calls you do take are with people who fit.
use case
After-hours support that doesn't lose the lead
The gap between a question and an answer is where interest dies. Answering after-hours questions immediately — and routing the ones you can't answer to a form or booking link — keeps enquiries warm until someone is back at a desk.
term
What is grounding in AI?
A grounded system retrieves passages before it writes anything, puts them in front of the model, and instructs it to answer only from what it was given. The test of whether a system is grounded is simple and does not require access to its internals: ask it something, then ask it where the answer came from. A grounded system names a page. An ungrounded one describes its reasoning.
term
What is a citation in an AI answer?
A cited answer tells the reader not just what the answer is but where it came from. In a customer-facing system, that link is usually a page on the business's own website, so following it is both a verification step and a way further into the site.
Give your website an AI representative.
It reads your site and starts answering. Around a minute to find out how good yours would be.