Short answer: an AI chatbot for a law firm costs a one-time S/ 349 setup, plus a fixed monthly plan starting at S/ 39 (up to 50 conversations) up to S/ 499 (unlimited conversations). A boutique firm handling up to 50 inquiries a month pays S/ 388 the first month and S/ 39 after that. A multi-office firm handling up to 10,000 conversations pays S/ 299/month. No fine print: the price includes tax and there's no separate charge for WhatsApp integration.
The real question behind "how much does it cost" isn't just the number — it's what a legal chatbot actually automates, and what it should never touch. Firms that get this distinction right free up their front desk and their associates for the work that actually needs a law degree. Let's break it down.
What does a law firm chatbot need that a generic chatbot doesn't have?
A lawyer evaluating a chatbot often confuses it with a basic FAQ bot. The difference comes down to three things:
- Real confidentiality. Case or client data can't pass through third-party servers. A serious legal chatbot runs on private AI, not a public OpenAI or Google API.
- Triage, not counsel. The chatbot filters: is this an employment, civil, criminal, or traffic matter? Is it urgent? Does the person already have an assigned attorney? With that information it books the first consultation with the right specialist, without a human reading every incoming message.
- Handoff with context. When a case warrants it, the chatbot transfers the conversation to a human lawyer with the full summary attached — the client doesn't repeat their story from scratch.
Real pricing: the 4 plans and which one fits your firm
With the fixed S/ 349 setup, the monthly cost depends only on conversation volume:
| Firm size | Monthly volume | Plan | Monthly cost | Year 1 cost (with setup) |
|---|---|---|---|---|
| Solo / boutique firm | Up to 50 conversations | Basic | S/ 39 | S/ 817 |
| Mid-size firm (3-8 lawyers) | Up to 3,000 conversations | Standard | S/ 149 | S/ 2,137 |
| Multi-office firm | Up to 10,000 conversations | Advanced | S/ 299 | S/ 3,937 |
| Large firm / high-volume legal practice | Unlimited | Enterprise | S/ 499 | S/ 6,337 |
Every plan includes web, WhatsApp and API integration, sub-1-second response times, and the same S/ 349 setup. There's no extra cost per channel.
Does a chatbot actually win more clients, or does it just cut costs?
Both, but the client-acquisition side tends to get underestimated. A well-known finding in B2B and services sales: contacting a lead within the first 5 minutes multiplies conversion odds by up to 21x compared to waiting an hour or more. A firm that only answers inquiries during office hours, the next day, or after clearing a backlog of emails, is losing exactly the prospects with the most urgency — the ones already comparing two or three firms at once.
The chatbot responds the instant someone writes in, at any hour, and books the first consultation without anyone having to watch the firm's WhatsApp. For a firm that gets inquiries outside business hours (weekends, after 7pm, holidays), that alone can account for a meaningful share of the opportunities currently lost to slow response times.
How long does implementation take, and what's included in the setup?
The S/ 349 setup covers discovery (which practice areas your firm handles, what questions your front desk answers today, what documents are requested before a consultation), building the knowledge base from YOUR information, and testing before going live. The chatbot is handling real inquiries within 48 hours — not weeks.
Legal chatbot vs. a receptionist: the full math
| Item | Receptionist (Latin America) | AI chatbot (Fluxr) |
|---|---|---|
| Monthly cost | $500–$900 USD + benefits | From S/ 39 |
| Hours | 8 hours, 5-6 days | 24/7/365 |
| Simultaneous inquiries | 1 | Unlimited |
| First response time | Depends on workload | Under 1 second |
| Data confidentiality | Depends on the person | Private, self-hosted AI |
| Drafting or legal counsel | Not their job | Not its job — hands off to a lawyer |
Receptionist cost in USD, Fluxr's plan in Peruvian soles (S/); the gap holds at any exchange rate. Compared to other vendors on the market, the price-to-feature ratio of a private legal chatbot is usually more favorable — you can check the full comparison at fluxr.pro/compare.
When is a chatbot NOT the right fit for your firm?
Being upfront about limits builds more trust than overpromising:
- If your firm gets fewer than 10 inquiries a month, a monthly plan probably isn't worth it yet — a simple contact form may be enough until volume grows.
- The chatbot doesn't draft filings or give legal opinions. Any vendor promising that is selling vapor (and probably exposing you to an ethics problem). The chatbot captures, filters and books; legal judgment stays 100% human.
- Cases requiring certified digital signatures or real-time negotiation need a human from the first contact — the chatbot can detect the urgency and escalate, but it doesn't replace that conversation.
- Firms deeply specialized in a narrow legal niche sometimes prefer every inquiry to go straight to an attorney, with no automated filter — that's a valid positioning choice, not a flaw in the chatbot.
A well-configured legal chatbot usually resolves most purely informational inquiries on its own (hours, fees, required documents, availability) without human involvement — leaving your team focused only on the cases that actually need their judgment. That's the correct use case: filtering repetitive volume, not automating professional judgment.
If your situation matches any of the points above, it's worth talking before you buy. You can see real implementation examples in our case studies, including how other professional services firms solved their initial intake — and if your workflow needs more than the standard chatbot (say, connecting to your case management system), check the integrations catalog before deciding.
Private vs. public AI: the difference matters more in legal than anywhere else
In the legal sector, privacy isn't a nice-to-have — it's the reason many firms haven't automated anything yet. A chatbot built on ChatGPT or another public API sends every client message to a third party. A private, self-hosted chatbot, like the one we build at Fluxr, keeps that data inside your own infrastructure. If you want the full technical breakdown, we cover it in private chatbot vs. ChatGPT.
How to test it with no commitment
The fastest way to judge whether a legal chatbot works for your firm is to watch it answer your own FAQs:
- See the full product — private chatbots for web, WhatsApp and API.
- Compare all plans for voice, chat and automation in one place.
- Does your firm have a particular case (multiple offices, multiple languages, integration with your case management system)? Request a tailored quote or message us on WhatsApp and we'll put together a proposal the same day.
Pricing verified as of August 2026. Fluxr Pro serves businesses and firms worldwide, with native support in English, Spanish and Portuguese.