NicFab Podcast English

Tenth and final episode of the first season of Legal Prompting . We close the loop of the journey built episode after episode: Legal Prompting is not a trick, it is a method . A disciplined practice for querying AI systems while remaining a lawyer, without delegating reasoning but structuring it into verifiable instructions. In this episode: The three threads of the season: prompt quality, human v...

Ninth episode of Legal Prompting . After discussing professional secrecy as a criterion for choosing an AI infrastructure, we shift our focus to the regulatory framework: the European AI Act and the obligations placed on legal professionals as deployers of AI systems. The central principle : those who use AI in legal practice are not mere users but regulated subjects under the AI Act, with precise...

When a legal professional uses an AI system to handle information covered by professional secrecy, choosing the infrastructure is a deontological decision, not just a technical one. No well-written prompt can compensate for inadequate infrastructure. In this episode: Three concrete applications: confidential files, advice on special-category data, opinions on extraordinary transactions and crimina...

In the previous episode we saw how to use AI to analyse contracts and clauses. Now we take a step further: those prompts do not live in isolation, but inside business processes involving people, documents, deadlines and responsibilities. In this episode we discuss Legal Prompting in corporate compliance workflows : privacy, anti-corruption, anti-money laundering, information security, organisation...

In this sixth episode we apply prompting techniques to contract analysis. Four distinct operations, each with its own prompt: Structured review of a single contract: role, applicable law, point of view, areas to examine, output format. Comparison between versions : substantive differences, risk classification, few-shot prompting to standardize the format. Verification against a checklist : the qua...

Two techniques change the way a model approaches a legal problem: chain-of-thought — the explicit request to lay out the logical steps before the conclusion — and few-shot prompting — providing two or three well-chosen examples to steer format and method of the answer. In this episode we look at: how to structure step-by-step reasoning with a concrete example on data transfers outside the EU (Chap...

In this episode, we talk about RAG — Retrieval-Augmented Generation — in the legal domain. What it is, how it works, and, most importantly, what risks it introduces for the legal professional. RAG allows a model to work with documents provided by the user rather than relying solely on its training data. The idea is powerful, but the process conceals concrete pitfalls: retrieval based on linguistic...

How to use artificial intelligence to work on privacy notices without losing legal control. Three concrete operations: checking completeness against Article 13 of the GDPR, simplifying the language in compliance with Article 12, and adapting a base notice to different contexts, such as employees or apps. Each operation includes a structured prompt example. With the three Legal Prompting premises:...

Second episode of the Legal Prompting series. How to use artificial intelligence to analyze a supervisory authority’s decision on data protection: why “ analyze this document ” is not enough, how to build a structured prompt (role, context, specific instructions, output format), the traps to watch for — normative hallucinations, loss of argumentative nuances, fabricated cross-references — and the...

The first episode of the NicFab Podcast is dedicated to Legal Prompting: how to use artificial intelligence in legal and professional contexts with method, awareness, and a critical eye. This episode introduces the three fundamental premises of the series: language models do not reason like lawyers; the use of AI in professional settings falls within a specific regulatory framework (GDPR, AI Act,...