Law firm inTusell use: a daily operations guide

In the main article, you trained the inTusell AI: you uploaded the knowledge base, set up consultation appointment types and the lawyers' working hours, and configured the persona and legal boundaries. Training was a one-time setup. Now the real work begins: how does a law firm use inTusell, that is, how does law firm inTusell use work in daily operations? This article shows, step by step, what the assistant you trained actually does in the field over a working day, from the incoming WhatsApp message to the consultation appointment, from follow-up to handing off to a human.

This article is the second part of the law section of our sector-based "how to train your AI" series. The first part, how to train the inTusell AI, covered the setup; this one covers turning that setup into daily operations.

Quick answer

A day in the flow

A day at a firm that has set up inTusell looks very different from before. The assistant used to arrive in the morning and work one by one through dozens of unread WhatsApp messages, sorting the real requests from the ads. Now the messages that came in overnight are already answered, the requests are pre-classified, and consultation appointments are created. The backbone of a day works like this:

The team no longer spends the day sifting through messages and screening "is this a fit or not". It deals with the conversations that genuinely need a lawyer: the ones that call for a legal assessment.

Who is it for?

This usage model makes the most sense especially for these firms:

• Firms that receive heavy first inquiries via WhatsApp and Instagram: those who can’t keep up with dozens of "I want a consultation" messages a day.
• Firms with low consultation conversion: those losing prospective clients to another firm because the response comes back late.
• Firms that lose after-hours demand: those who respond late to urgent questions that come in during the evening and on weekends.
• Firms that have to separate ads from real requests: those whose inbox is a mix of spam and genuine prospects.

If your inquiry volume is more than a single assistant can keep up with, inTusell handles it like an initial-meeting coordinator working within clear boundaries, but it doesn’t replace the lawyer.

The most important boundary: the AI does not give legal advice

For a law firm, this is the rule that comes before everything else. inTusell does not give legal advice, predict case outcomes, or suggest strategy on a concrete matter. This is both a professional boundary and a way to prevent a wrong steer from putting the client and the firm at risk.

In practice, what the AI does and doesn’t do breaks down like this:

When a client asks a concrete question like "Can I object to this rent increase?", the AI doesn’t list possible answers; it says "This depends on the details of your case; let our lawyer assess it in the consultation" and routes to an appointment. Wherever it doesn’t know, or where interpretation is required, it states its limit honestly and hands off to the lawyer. We explain in detail how you set up this boundary during training in the how to train the inTusell AI article.

Incoming request: the client asks, the AI clarifies and routes

The flow starts when a prospective client sends a message. Imagine someone writing on WhatsApp, "My landlord has filed an eviction case, what do I need to do?" The AI reads this message, pre-classifies which area of law the request falls under (here, real estate/tenancy law), scans the firm information in your knowledge base, and steers the client to the right step: a consultation appointment.

Two points are critical. First, the AI does not interpret the matter. On "Is the eviction justified?" it makes no assessment either way; it leaves the situation to the lawyer and routes the client to the appropriate consultation appointment. Second, the AI replies in whatever language the client writes in: a practical convenience for firms with foreign clients.

The instructions that come ready for law firms treat contact details and a topic heading as enough for a meeting request; the AI doesn’t ask for documents, ID details or the details of the matter on its own. If the person mentions a deadline risk (a notice was served, an objection period, an enforcement proceeding), the AI does no deadline calculation, says the matter may be urgent and hands the conversation to the team for the earliest meeting. We cover separately how all these channels come together in a single inbox in the Instagram and WhatsApp consultation automation article.

Booking a consultation: slot, duration, and conflict prevention

When the client asks for a meeting, the AI doesn’t pull a time out of thin air. It looks at the three things you defined during training: the duration of the consultation type (for example, "Initial Meeting 45 min"), the lawyer’s working hours, and whether that slot is taken. If it finds a suitable slot, it creates the consultation.

Here the most critical safeguard is conflict prevention: the same lawyer cannot be booked for two meetings at the same time. If you added your lawyers as staff, the check runs per lawyer. Before creating an appointment, inTusell checks your working hours and existing appointments; if a conflicting slot is requested, it doesn’t open the appointment. Cancelled or no-show (missed) appointments free the slot again in this check. So the nightmare that small firms experience most often (a lawyer being called into meetings with two clients at the same time) disappears.

Every consultation has a status, and its lifecycle is clear:

scheduled
  → confirmed
  → attended
or
  → cancelled
  → missed (no-show)

You’ll find detailed instructions on how to set up consultation types, durations, buffer times, and calendar sync in the law firm consultation appointment automation article.

Reminders, the document list, and reducing no-shows

One of the costly things in a firm is a client who doesn’t turn up (a no-show): a consultation hour left empty is the lawyer’s unbillable time. inTusell reduces this with automatic reminders.

For every consultation appointment, two reminders are scheduled:

• 1 day in advance: a message along the lines of "You have a consultation appointment tomorrow at [date time]"; it asks for confirmation with "1 Yes · 2 Reschedule · 3 Cancel". If you wrote a preparation note on the consultation type (for example "bring your contract, notice and ID"), it appears in this message, so the meeting isn’t wasted.
• 2 hours in advance: a short reminder along the lines of "You have a meeting today at [time]: 2 hours to go".

The reminder goes through the channel the client wrote on; if an SMS provider is set, SMS follows, and then email. The message contains a change/cancel link, so the client can let you know in advance that they can’t make it and the slot doesn’t go to waste. You can turn off the reminder for a specific appointment. Reminders run on paid plans; on the Free plan automations are off.

If the client still does not show up, you mark the appointment with the "No-show" button in the Agenda or Day view; an appointment still not marked "Attended" about 2 hours after it ends also counts as missed, and the conversation moves to the "needs follow-up" stage. If you mark attendance in the panel (at least one "Attended" in the last 30 days), inTusell sends the client who did not show a rescheduling message with 3 numbered options from your real open times and an appointment management link; if you do not mark attendance, it does not send it, because "missed" is then only a guess and telling someone who did come "we missed you" is worse than not writing at all. The client can move the missed appointment to a new time from their own link within 7 days.

Case status queries: the AI doesn’t know, it hands off to the lawyer

Your existing clients most often write to ask "What’s the status of my case?" Let’s be clear: inTusell is not a court or case-management system, and the AI doesn’t know a client’s case status. On this question the AI doesn’t guess; it takes the question politely and hands the conversation to the lawyer in charge, and the handoff lands on the Decisions page with the full history.

Don’t write person-specific case information into the knowledge base: the knowledge base is used in every conversation, so a hearing date written there could be told to someone else. The knowledge base is for general information: practice areas, the consultation process, how fees are set, office location and working hours. The client gets a quick reply, and every piece of case information and interpretation comes from the lawyer.

Consultation fee and boundaries

For a law firm, the fee is a sensitive topic bound by professional rules. The instructions that come ready for law firms hold this line:

• The AI states no amount and does not negotiate fees. It says fees are set by the Attorneys’ Minimum Fee Tariff and a written engagement agreement, that the exact figure is given in the meeting, and routes to an appointment.
• You can adjust the instructions to your firm’s policy, but the AI never invents a figure that isn’t in the knowledge base.
• Phrases like "you’ll definitely win", "guaranteed outcome", or "you’ll get this much in damages" are professionally improper and forbidden in the ready instructions; in addition, an output filter (a pattern scan plus a second-model check) scans for such misleading promises and flags them. The filter doesn’t block everything; the real control is the instructions.

So rather than inventing a figure it isn’t sure of, the AI steers toward the right step: the consultation or the lawyer. At no stage does inTusell collect the fee itself; the firm provides the service and issues the invoice. For product and pricing details, see the solutions and pricing pages.

Confidentiality, KVKK, and the attorney-client relationship

In a law firm, incoming information is often sensitive and falls under attorney-client confidentiality. inTusell gives you these tools:

1. Consent record: Consent is recorded per channel and purpose, with its time; the client can see and change their choice through the consent portal link.
2. Legal notices: "Legal notices" in My business › Business Information send the client a short KVKK notice with your own privacy link at first contact and add an opt-out line to promotional messages. They are on by default; only the owner or an admin can change them.
3. Sensitive field control: The practice area (family, criminal, enforcement and so on) is a high-sensitivity field; the AI does not save it without your confirmation. The ready instructions also don’t ask for documents, ID details or the details of the matter in the chat on their own.
4. Encrypted storage, separate data and deletion: Data is stored encrypted and each business’s data is kept separate. The retention policy deletes expired data nightly, and you export data with "Download My Data (KVKK)". In the sales call recordings you upload, phone numbers, emails, ID and card numbers are masked in the transcript.

This makes it easier, in the event of an audit or objection, to answer the question "what did the client consent to, and when?" with evidence. It also prevents sensitive case information from being recorded haphazardly.

Following up a quiet client: proactive follow-up and CRM

In a firm, most business is lost to prospective clients who say "let me think, let me ask my spouse" and then disappear. inTusell doesn’t forget these prospects. A prospect who got information and went quiet receives up to 3 follow-up messages written by the AI; wait times are set by sector, and the messages go out only within business hours (your appointment hours, otherwise 09:00-21:00 local time) on WhatsApp, Instagram or Telegram. Follow-up stops when the prospect replies, books an appointment or says "don’t message me." Every conversation is recorded in the CRM, so the prospect’s history, the matter they came with and the stage they’re at stay on record.

So when the team sits down to work in the morning, it’s already clear which prospect is hot and which is waiting on follow-up. Nobody has to keep a manual reminder list; if you want to call a prospect on a specific day, you set a staff reminder on the contact card and the notification goes only to the person in charge when it’s due.

The law firm pipeline

Every prospective client moves along a pipeline. At setup, a law firm is chosen as the "Law Firm" sub-type of the Consulting sector, and this pipeline comes ready:

New Lead
  → Discovery Meeting
  → Brief Received
  → Proposal Prepared
  → Negotiation
  → Closed (won)
or → Lost

At most firms "Discovery Meeting" corresponds to the first consultation, and "Proposal Prepared" and "Negotiation" to the engagement and fee discussion. The pipeline shows you at a glance which prospect only got information, which got a consultation, and which is waiting on a decision to engage. Because the engagement is signed at the firm, your team moves a deal to "Closed"; the AI never counts a deal as won on its own guess.

Handing off to a human: working modes

You decide how much the AI does on its own. There are three account-wide modes (My business › Instructions › AI Settings › Advanced AI Settings):

In every mode the AI hands a question requiring a legal opinion, a possible conflict of interest, or an urgent situation (for example, an upcoming hearing or a detention) off to the lawyer; legal and sensitive topics go to the team in every mode. The handoff lands on the Decisions screen with the full conversation history, so the client doesn’t have to tell the story again. In a sensitive file you can put a single conversation in Approval, Shadow or Paused mode.

What it isn’t

To put inTusell in the right category, let’s clarify what it isn’t:

• It isn’t a simple chatbot. It is an AI sales assistant and CRM that answers messages on WhatsApp, Instagram and web chat, books appointments and follows each prospective client through the pipeline.
• It isn’t a lawyer or a legal advisor. It doesn’t give legal advice, doesn’t state case outcomes, doesn’t suggest strategy; it leaves the concrete legal question to the lawyer.
• It isn’t a court case-management system. It doesn’t carry out official case-file actions; it’s the consultation appointment, communication, and client-coordination layer.
• It isn’t a collections or accounting agent. The firm provides the service and issues the invoice; inTusell is not a seller or intermediary.
• It isn’t priced specifically for law firms. Plans differ only by messages, voice minutes and storage and don’t change by sector; channel count is never charged. The consultation appointment module can be enabled on any plan.

Let these boundaries be clear from the start, so you don’t begin with the wrong expectations.

Frequently asked questions

Does the AI give legal advice?

No. The AI does not comment on case outcomes, loss of rights, or legal strategy. It only provides information about general procedure, documents to bring, how fees are set, and how the firm works; for concrete legal questions, it routes the client to a lawyer and a consultation appointment. The firm is always the one providing the service.

Does the AI create the consultation appointment on its own?

Yes. The AI clarifies the subject of the request and creates a consultation appointment based on the lawyer’s working hours and open slots. Double-booking the same time is prevented by the system. In a conflict of interest, an urgent matter, or a complex situation, it hands the conversation off to the lawyer.

What happens if a client asks "what’s the status of my case?"

The AI doesn’t know a client’s case status; inTusell is not a case-management system. It takes the question politely and hands the conversation to the lawyer in charge; the handoff lands on the Decisions page. Because the knowledge base is used in every conversation, person-specific case information should not be written there.

Which channel do appointment reminders go through?

Reminders 1 day and 2 hours before a consultation go first through the channel the client wrote on (WhatsApp, Instagram, Telegram); if an SMS provider is set, SMS follows, and then email. There are no automatic reminders for hearing dates; inTusell only reminds clients about appointments in the system.

Does the AI quote the consultation fee?

In the instructions that come ready for law firms, the AI states no amount and does not negotiate fees: it says fees are set by the Attorneys’ Minimum Fee Tariff and a written engagement agreement, and that the exact figure is given in the meeting. You can adjust the instructions to your firm’s policy; the AI never gives an invented figure.

How are client information and confidentiality protected?

Data is stored encrypted and each business’s data is kept separate. Consent is recorded per channel and purpose, with its time. The AI does not save high-sensitivity fields such as the practice area without your confirmation, and the ready instructions don’t ask for documents or case details in the chat on their own. You export data with "Download My Data (KVKK)".

Next step

If you haven’t trained your assistant yet, start first with the how to train the inTusell AI article: the foundation of this operation is set up there. If you want to go deeper on the channel side, you can move on to the Instagram and WhatsApp consultation automation article, and for the details of the appointment engine, the law firm consultation appointment automation article; you can see the solution built for law firms on the law firm page, and review the whole series on the all articles page.

If you’re curious how the same logic is set up in another regulated field with an "it doesn’t give advice" boundary, the clinic AI training article offers a good comparison; in tourism, the flow is in the tour agency AI training article.

To see live how it would work in your own firm, request a demo or write directly to hi@intusell.com. In a short session, we’ll open your inbox together and test the first consultation appointment in the system.