Legal Tech
AI case law: accelerating legal research without losing legal rigour
AI case law refers to the use of artificial intelligence to search, analyse and use court decisions. For legal professionals, the goal is not to replace legal reading, but to identify relevant judgments, case law trends, court reasoning and useful decisions for a matter more quickly.
Silex applies legal artificial intelligence to research, analysis and the structuring of legal sources. The platform helps lawyers, legal professionals and in-house teams work faster while keeping source verification, legal method, confidentiality and professional obligations at the centre of practice.
Why case law is difficult to search
Case law research is rarely a simple keyword search. A lawyer or legal professional must identify the relevant facts, qualify the legal question, find applicable court decisions, distinguish leading cases from more fact-specific decisions and check whether the solution is still current.
In Switzerland, the Federal Supreme Court publishes its leading decisions in the official collection. Since 2007, all Federal Supreme Court decisions are generally accessible online in anonymised form. Legal research can therefore involve thousands of decisions, with variations by language, field of law, date and type of procedure.
For a broader professional overview, see the AI for lawyers page.
What artificial intelligence adds to case law research
AI tools can improve case law research through natural language processing. Instead of relying only on exact keywords, users can describe a situation in plain language: abusive termination of a contract, contested administrative decision, disputed clause, employment law issue, liability, procedure or sanction.
AI can then turn the question into research angles, connect related concepts, extract important passages and propose a synthesis. Language models are useful for moving from a large file to a first map of the issues. But they are not enough: the answer must always link back to verifiable decisions.
The ChatGPT vs Silex comparison explains why legal research has different requirements for sources, method and security than a general AI answer.
RAG, sources and court decisions: why verification remains essential
Legal research with AI often relies on Retrieval Augmented Generation, or RAG. The principle is simple: the system does not merely generate an answer from a model. It first retrieves relevant sources, then uses those sources to produce a contextualised answer.
In law, this method is essential. A fluent but unsourced answer can be dangerous. An invented decision, a wrongly cited judgment or foreign case law presented as applicable can weaken advice, a memo or an argument. AI search must therefore be built around proof: which decisions, which citations, what context and what currency?
Swiss source: Federal Supreme Court decision databases.
Use cases for lawyers and legal professionals
Need | Possible AI contribution | Professional control |
|---|---|---|
Case law research | Identify decisions close to a legal question. | Read the judgments and check their scope. |
Decision analysis | Summarise facts, procedure, reasoning and outcome. | Check reasoning and references. |
Case law trends | Compare several decisions on the same topic. | Verify sample, time period and relevance. |
Preparing advice | Structure favourable and unfavourable arguments. | Adapt to mandate, risk and client. |
For law firms, these uses can reduce preparation time, especially where several decisions need to be compared. The Silex product page presents features for research, analysis and structured work with sources.
Federal Supreme Court, cantonal courts and administrative decisions
Serious case law research must define the scope: Federal Supreme Court, cantonal courts, administrative court, specialised administrative courts, published decisions, anonymised judgments or leading cases. AI can help explore these corpora, but it should not mix decisions from different levels without making this clear.
Entscheidsuche allows users to search Swiss decisions, including judgments from the Federal Supreme Court and cantonal courts. It illustrates the importance of structured access to legal information. For a professional, the question is not only to find results, but to know which are useful, current and applicable.
Swiss source: Entscheidsuche, Swiss decision search.
Generative AI and professional obligations
Generative AI can automate preparatory tasks: summarising decisions, extracting passages, comparing reasoning, proposing an outline or rewriting a memo. But in legal professions, this automation must be framed by professional obligations.
A lawyer cannot delegate professional judgment to a model. They must check sources, protect data, respect confidentiality and take responsibility for strategy. AI can be a tool for efficiency, not the decision-maker. This is why source control, documentation and security remain essential.
The Silex security page explains the safeguards expected for professional use: Swiss hosting, confidentiality, no training on client data and secure infrastructure.
How Silex supports case law research
Silex helps legal professionals formulate a question, identify relevant legal sources, analyse decisions and build a documented answer. The tool does not simply produce a response: it provides the keys to understand the reasoning and verify references.
For a lawyer, this can mean less time browsing scattered results. For an in-house lawyer, it can help prepare an internal memo or verify a position. For a litigation team, it can make it easier to compare several decisions on the same legal issue.
Teams that want to test Silex on their own case law questions can book a demo. For an overview of available plans, see Silex pricing.
Criteria for choosing a legal information solution with AI
A legal information solution should not be assessed only by the fluency of its answers. In law, quality is measured by source relevance, traceability, data security and the professional’s ability to remain in control.
Corpus: which decisions and legal sources are available?
Traceability: can cited judgments be opened, read and checked?
Context: does the tool understand the legal field, procedure and question?
Security: are matter data protected and excluded from training?
Supervision: does the user keep final validation?
FAQ: AI and case law
Can AI find relevant case law?
Yes, if it relies on reliable sources and verifiable results. It can help formulate a search, identify close decisions and prepare a synthesis.
Can AI replace legal research by a lawyer?
No. It can accelerate case law research, but the lawyer or legal professional must read the decisions, check their scope and adapt the analysis.
What is RAG in legal research?
Retrieval Augmented Generation means retrieving sources first and then generating an answer based on those sources. In law, this reduces the risk of unverifiable answers.
What risks should be watched with AI and case law?
Invented decisions, wrong citations, non-applicable sources, poorly protected confidential data and lack of human supervision.
Is Silex suitable for case law research?
Yes. Silex is designed for legal professionals who need legal research, verifiable sources, analysis and security in a Swiss environment.
