AI applied to notarial work refers to the use of artificial intelligence in the day-to-day activity of a notarial office: managing documents, extracting data, preparing deeds, legal research, client relationships, matter organisation and the automation of repetitive tasks. For the notarial profession, the goal is not to delegate the deed to a machine, but to improve service quality and the rigour of preparatory work.
Silex is a Swiss legal AI platform designed by lawyers for legal professionals. It helps notarial offices draw on reliable sources, analyse documents and structure answers, while keeping human oversight, data protection and legal certainty at the heart of practice.
Why notarial work is turning to artificial intelligence
A notarial office handles a substantial amount of information: the parties' identities, supporting documents, personal data, deeds, draft contracts, client communications, registers, asset information, banking documents or inheritance data. Every matter demands precision, confidentiality and coordination.
In this context, digital tools and artificial intelligence can reduce the burden of repetitive tasks. AI can help verify that documents are present, extract information, prepare a summary, compare versions or organise a file ahead of an appointment. The notary nonetheless remains responsible for verification, advice, authentication and the final decision.
This approach echoes the broader uses of AI in law: speeding up research and analysis without taking reasoning away from the professional.
Use cases for artificial intelligence in a notarial office
- Document management
- Possible AI contribution: Classify documents, spot missing items and extract key information.
- Supervision required: Check the file's completeness and relevance.
- Deed preparation
- Possible AI contribution: Prepare an outline, a pre-filled draft or a checklist.
- Supervision required: Review, adapt and validate every clause.
- Client relationship
- Possible AI contribution: Summarise a situation, prepare questions and explain the steps.
- Supervision required: Maintain listening, advice and human explanation.
- Legal research
- Possible AI contribution: Identify sources, rules or decisions relevant to a notarial question.
- Supervision required: Verify the applicable law, including cantonal law.
For an approach more focused on the notary's individual role, the AI notary page presents concrete uses around deeds, inheritance and property purchases.
Authentic deeds, legal certainty and digitalisation
Notarial work rests on legal certainty. In a property purchase, for instance, ch.ch notes that the deed of sale must be authenticated. AI can prepare, classify, summarise or compare, but it does not replace authentication, verification of the parties' intent, or the responsibility of the competent public official.
Switzerland is also moving forward with the digitalisation of authentic deeds. Adopted by Parliament on 16 June 2023, the federal law on digitalisation in the notarial field provides for the possibility of drawing up original authentic deeds in electronic form, along with the creation of a central electronic register managed by the Federal Office of Justice. Its technical and regulatory rollout runs through 2028, with entry into force planned for 2029. This shows that notarial work is going digital, but within a formal and secure framework.
Swiss sources: ch.ch on real estate purchase contracts ; FOJ on the digitalisation of authentic deeds.
Data extraction and service quality
Data extraction is one of the most concrete AI use cases in notarial work. From client documents, the tool can identify names, addresses, dates, land parcels, amounts, register references, family information or clauses that need checking. This preparation can reduce input errors and improve the smoothness of notarial service.
Automatic extraction is not enough on its own. Information must be checked, especially where it concerns real rights, an inheritance, a donation, the incorporation of a company or a complex family situation. Service quality depends on combining digital tools with human validation.
Offices looking to structure this step can rely on a legal analysis method: a precise question, controlled sources, explainable reasoning and validation by the professional.
Data protection in notarial practice
A notarial office handles personal data and confidential information: assets, family situations, prices, accounts, real estate, heirs, agreements or draft deeds. Data protection is therefore a prerequisite. Before using AI, it is essential to understand where data is hosted, who can access it, whether it is used to train models, and how access is logged.
In Switzerland, the FDPIC notes that data protection law applies to processing that relies on artificial intelligence, a requirement reinforced since the revised Federal Act on Data Protection entered into force in September 2023. For notarial work, this requirement goes hand in hand with file confidentiality and client trust. A useful but poorly framed technology can weaken the client relationship.
Swiss source: FDPIC on AI and data protection.
What AI should not do in notarial work
Artificial intelligence dedicated to notarial work should not promise to produce a final authentic deed without review, replace the notary's advice, or decide alone on the legal certainty of a transaction. Nor should it mix up cantonal rules, use foreign sources without flagging them, or process client data in an insufficiently secure environment.
The right approach is to automate what can genuinely be automated: repetitive tasks, document organisation, data extraction, preparing summaries, document research and version comparison. Decision-making, advice, final verification and authentication remain the professional's responsibility.
How Silex can help a notarial office
Silex helps legal professionals research sources, analyse documents, prepare summaries and structure answers. For a notarial office, the benefit lies in a reliable working tool to prepare files, verify points of law and save time without sacrificing precision.
The Silex product page presents the features useful to offices: legal research, contextual analysis, translation, matter organisation and integration of internal data depending on the plan. The Silex security page details Swiss hosting, confidentiality and zero training on client data.
Offices that want to evaluate Silex on their own files can book a demo.
Criteria for choosing an AI tool for notarial work
Before integrating a solution into a notarial office, it is worth checking a few simple, concrete criteria. The tool must serve practice, not add a new layer of risk.
- Sources: are the legal references verifiable and suited to Swiss law?
- Data: are client documents and information protected?
- Control: does the notary retain final validation?
- Traceability: can the answers, sources and documents used be checked?
- Practice: does the tool genuinely reduce the office's repetitive tasks?
For users comparing a general-purpose AI with a specialised legal solution, the ChatGPT vs Silex page explains the differences in method, sources and security.
FAQ: AI and notarial work
Can AI draft an authentic deed?
It can prepare a draft, extract information or suggest a structure, but the authentic deed and its validation remain the responsibility of the notary or the competent public official.
What are the most useful AI uses in a notarial office?
The most useful uses concern document management, data extraction, preparing summaries, legal research, document comparison and support for the client relationship.
Does AI improve service quality?
Yes, if properly supervised. It can reduce repetitive tasks and speed up file preparation, while advice and validation remain with the professional.
What precautions should be taken with notarial data?
Hosting, access rights, possible reuse of data, confidentiality guarantees and the absence of training on client documents must all be checked.
Is Silex suitable for notarial work?
Yes. Silex is Swiss legal AI designed for legal professionals, with particular attention to sources, analysis, security and confidentiality.
