AI for lawyers refers to the use of artificial intelligence in law firm practice: legal research, document analysis, contract review, case synthesis, drafting assistance and automation of repetitive tasks. Used well, it frees up more time for the truly strategic aspects of the profession: advice, argumentation, client relationships and decision-making.
Silex is a Swiss legal AI designed by lawyers for lawyers. It helps legal professionals speed up the handling of their files without ever giving up human oversight, respect for professional secrecy, or verification of legal sources.
Why lawyers are interested in artificial intelligence
Law firms handle growing volumes of documents: exhibits, contracts, emails, case law, legal doctrine, internal notes, memos and client correspondence. Generative artificial intelligence can help summarise, compare, rephrase, sort and prepare initial analyses.
The point is not to replace the lawyer, but to reduce time spent on repetitive tasks. In an M&A matter, extracting clauses can speed up document review. In criminal law, summarising exhibits can help build a timeline. In a consultation, better-structured legal research allows more focus on argumentation and risk.
This subject fits within the broader framework of AI legal, where Silex positions artificial intelligence in service of reasoning, not as a substitute for the professional.
What AI can do in a law firm
- Legal research
- Possible contribution of AI: identify sources, decisions, articles and doctrinal leads.
- Necessary control: verify the applicable law and open the sources.
- File analysis
- Possible contribution of AI: summarise exhibits, extract key points, prepare a timeline.
- Necessary control: connect the facts to strategy and the mandate.
- Contract analysis
- Possible contribution of AI: identify sensitive clauses, obligations, inconsistencies and negotiation points.
- Necessary control: validate the position according to the client's risk profile.
- Drafting
- Possible contribution of AI: prepare an outline, rephrase a section, propose variants.
- Necessary control: proofread, check citations and adjust the tone.
To go deeper into contract review, the legal analysis page details how AI can support firms, legal departments and businesses in identifying risks.
Professional secrecy: a strict legal framework, not a mere best practice
In Switzerland, a lawyer's professional secrecy rests on two complementary texts. Article 321 of the Criminal Code sanctions its violation with a custodial sentence of up to three years or a monetary penalty, the offence being prosecuted only upon complaint. The Federal Act on the Free Movement of Lawyers, in force since 2002, gives it a positive definition in its Article 13: secrecy is absolute, unlimited in time, and the lawyer remains its sole master, even if released from it by the client.
This architecture concretely changes the way one should approach a generative AI tool. Entrusting a file excerpt, a procedural document or client data to a service whose hosting, subcontracting or terms of use are not controlled exposes the lawyer to a combination of risks: criminal sanction, disciplinary proceedings before the cantonal supervisory authority, and civil liability towards the client. Choosing a tool is therefore never a mere matter of convenience.
FSA guidelines: AI, professional secrecy and human oversight
The Board of the Swiss Bar Association adopted guidelines on 14 June 2024 concerning the use of AI by lawyers. The FSA notes that generative AI can be useful for tasks such as translation, analysis of large datasets, due diligence, internal investigations, summaries or improving texts.
These benefits do not remove professional obligations. The guidelines identify two main paths for reconciling AI with professional secrecy: software installed and operated on the firm's internal network, guaranteeing that no data leaves it, or an external provider used in strict compliance with the rules applicable to subcontracting. They also stress independent verification of results and the establishment of internal rules tailored to each firm. In other words, the integration of artificial intelligence must be organised, documented and controlled, never improvised.
Legal research: sources of law and reliability
AI for lawyers only has value if it helps build a verifiable answer. In Swiss law, Fedlex provides access to federal texts, the Classified Compilation and official publications. For a firm, the question is therefore not only whether the tool answers quickly, but whether the sources, citations and reasoning can be checked at every step.
General-purpose tools or systems integrated into office environments can be useful for rephrasing or summarising. But legal practice requires reliable content, traceability of sources, the ability to distinguish doctrine, case law, statute and hypothesis, as well as a strict separation of environments when client data is processed.
Client data, models and data protection
The use of artificial intelligence systems in a firm often involves sensitive data: procedural documents, contracts, personal information, trade secrets, financial data or litigation strategy. Before any use, the lawyer must know what happens to the data entered, who can access it, where it is stored, and whether it is used to train models.
The revised Federal Act on Data Protection, in force since September 2023, applies directly to processing that relies on AI. In cases of high risk, a data protection impact assessment may be necessary. References to AES, TLS in transit, encryption at rest, ISO or cloud must never be mere labels: they must be verifiable in the provider's contractual and technical documentation.
The Silex security page explains the approach expected of a professional legal tool: Swiss hosting, confidentiality, zero training on client data, and infrastructure suited to professional secrecy.
Lawyer and artificial intelligence: where to draw the line?
Artificial intelligence can be a productivity lever, but it does not understand the client, the strategy, the human context or the appetite for risk the way a lawyer does. It can propose a synthesis, an outline or a wording, but it never takes responsibility for the position defended.
The right boundary is to entrust AI with what can be prepared, compared or structured, and to reserve for the lawyer what falls within professional judgment: strategy, qualification, arbitration, advice and signature. AI should allow more time to be spent on strategic aspects, not dilute them.
Silex for law firms
Silex supports law firms, businesses and legal departments with a platform designed for legal research, document analysis, assisted drafting, translation and the use of structured sources. The tool helps process files more efficiently while preserving the professional's control.
For a lawyer, the benefit is concrete: reducing research time, preparing a memo faster, comparing documents, identifying clauses, structuring an argument, and preserving traceability of preparatory work. Silex does not just give an answer: it provides the keys to build your own. In-house legal departments can consult the AI for business page. To discover all the features, also see the Silex product page.
How to integrate AI into a law firm
Integrating artificial intelligence should not start with a tool, but with rules: what uses are authorised, what documents can be processed, what data is prohibited, what checks are necessary, and who validates the output? This setup prevents AI from being used as a mere text-generation service, without a professional framework.
- Define use cases: research, contract analysis, synthesis, drafting or translation.
- Train teams: limitations of generative AI, source control and best practices.
- Protect data: separation of environments, access, hosting and training rules.
- Document verifications: opened sources, checked citations and validated final version.
- Measure gains: research time, quality, consistency and reduction of repetitive tasks.
Teams wishing to evaluate the tool on their own files can book a demo with Silex.
FAQ: AI for lawyers
Can AI replace a lawyer?
No. It can help with research, analysis and drafting, but it replaces neither the lawyer's advice, strategy, nor professional responsibility.
Can a lawyer use generative AI?
Yes, provided professional secrecy, data protection, verification of results and applicable guidelines are respected.
What are the best use cases for a firm?
The most relevant uses concern legal research, case synthesis, contract analysis, clause extraction, drafting assistance, translation and preparing arguments.
Is client data used to train Silex?
No. Silex emphasises zero training on client data, Swiss hosting, and an approach designed for professional secrecy.
How do you start with AI at a firm?
Start with well-defined use cases, clear internal rules, non-sensitive data for testing, and systematic validation by a lawyer.
