What does AI cost for a notarial office?

What do you actually pay per month?

The question of what AI costs deserves a concrete answer, so let us start with the figures. aiNotaris offers two plans with a fixed monthly price. aiAssistant costs from €1,499 per month and delivers immediate administrative relief: digital colleagues that take email, file creation, document checks and planning off your hands. aiExpert costs from €3,299 per month and adds legal depth on top, from file analysis and case-law research to clauses with source citations, directly in Word. Both prices exclude VAT.

At least as important as the amount is what does and does not come on top. The price is all-in:

• Unlimited usage within the licence: there is no per-action or per-token billing.
• No separate implementation costs: roll-out is plug-and-play via Microsoft SSO, without complex server installations.
• Platform updates and maintenance are fully included.
• Monthly subscriptions can be cancelled at any time; annual subscriptions run for twelve months and carry a 15% discount.

The from-price depends on the number of users; from 21 users we prepare a tailored proposal, matched to your office structure and file flow. The current amounts and a full overview of the modules per plan can be found on the pricing page. If you are undecided between the two, aiAssistant is the logical starting point; scaling up to aiExpert is possible the moment the legal modules demonstrably pay for themselves.

What is the fairest comparison for that price?

The fairest comparison is not with other software, but with the vacancy you cannot fill. A vacant candidate seat costs €1,274 per day. Across a four to six month recruitment process the lost revenue exceeds €120,000, quite apart from the pressure that stays on the team meanwhile.

Set the licence against that. aiAssistant pays for itself in twenty minutes per week: at a seven-person office, twenty minutes saved per employee per week is enough to cover the licence. In practice one team member wins back four to five hours a week, before the rest of the team is even counted.

That arithmetic also becomes more pressing every quarter, because the work grows while staffing shrinks. Mr. Online reported that notaries passed seven percent more deeds in the second quarter of 2025. Anyone wanting to process that volume with the same team needs extra capacity: in people, in software, or in both.

What does your office already pay for traditional IT?

The cost question is often posed as if AI comes on top of an inexpensive baseline. The reality is different. Many offices already pay heavily for traditional IT: on-premise servers, firewalls and workplace security, their management by an external IT administrator, and Citrix or Remote Desktop workplaces to access the notarial software securely. Our whitepaper on the notarial IT landscape describes how the earnings model of IT administrators has historically been woven into precisely that local infrastructure. Those costs feel like a given, but they are not: they belong to an architecture in which the software can only be accessed securely through heavy virtual workplaces.

Cloud-native AI adds nothing to that stack. aiNotaris runs in the browser, within the Microsoft environment your office already uses. There are no extra servers, no extra virtual workplaces and no separate management contracts. In chapter 9 the whitepaper shows that offices which run their active processes through a cloud-native AI architecture can, over time, actually wind down their dependence on heavy local infrastructure and costly Citrix workplace licences.

The conclusion of that chapter is clear: investing in a smart, modular AI architecture not only pays back in hours saved directly, but also contributes to a markedly lighter and more flexible IT budget. The relevant question is therefore not only what AI costs, but what happens to your total IT costs once AI makes part of the old stack redundant.

Is AI a saving on people?

No, and for the business case that is precisely good news. In its articles on the impact of AI on jobs and on the AI workforce, Gartner describes how AI primarily changes the work itself, rather than simply replacing jobs. Routine tasks shift to the technology, while people focus on work that requires judgement, explanation and contact. For the notarial profession this holds all the more strongly, because the law already draws the line: the deed is and remains the notary's.

aiNotaris is therefore deliberately built as capacity alongside your people, not as a replacement. The software proposes, the notary reviews and signs. The digital colleagues absorb the administrative volume, so your staff can spend their hours on substantive and billable work. You budget the licence not against salaries, but alongside the capacity you are currently short of.

That also makes the investment an HR instrument. The whitepaper states that the biggest business risk for a notarial office today is losing staff to slow, frustrating and overcomplicated systems. An office that offers modern tools retains its people and is more attractive to new talent.

How do you run the sums for your own office?

You do not need generic benchmarks; your own figures are more reliable than any average. A simple method in hours per week per role is enough:

• Pick the three roles with the most repetitive work, for example notarial employee, secretariat and candidate notary.
• Estimate per role how many hours per week go into processing email, creating files, checking documents and retyping data between systems.
• Multiply those hours by the hourly staff cost of that role and add the roles together.
• Set the monthly outcome against the licence price. Everything above the break-even point is capacity freed up for clients and substantive work.

The break-even point sits lower than most offices expect: at seven employees, twenty minutes saved per person per week already covers the aiAssistant licence. Estimate deliberately conservatively: the business case does not need the best conceivable outcome to add up. In a demo we are happy to work through this sum with you, based on your own file flow and staffing.