NicFab Podcast English

Reflections on privacy, artificial intelligence, and digital innovation with respect to fundamental rights Music by Dmitrii Spis from Pixabay

NicFab Podcast English is a technology podcast hosted by Nicola Fabiano, with 10 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Nicola Fabiano hosts NicFab Podcast English, a technology show with 10 episodes published.

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  Episode #10

  Legal Prompting - Synthesis and perspectives

  May 25, 20265 minS1

  <p>Tenth and final episode of the first season of Legal Prompting.</p> <p>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.</p> <p>In this episode:</p> The three threads of the season: prompt quality, human verification, infrastructure choice. The three cross-cutting operational rules: document, update, share with caution. The outlook: local models, vertical tools, consolidation of the regulatory framework (AI Act, GDPR, Italian Law 132/2025). Why...

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  Episode #9

  Legal Prompting - AI Act: obligations for legal professionals

  May 18, 20266 minS1

  <p>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.</p> <p>The central principle: those who use AI in legal practice are not mere users but regulated subjects under the AI Act, with precise obligations. To these is added the cross-cutting duty of AI literacy (Article 4), already applicable since February 2025.</p> <p>Three concrete applications:</p> Classify the risk of the system used (prohibited, high, limited, minimal) ...

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  Episode #8

  Legal Prompting - Professional secrecy and AI infrastructure

  May 11, 20266 minS1

  <p>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.</p> <p>In this episode:</p> Three concrete applications: confidential files, advice on special-category data, opinions on extraordinary transactions and criminal proceedings Three operational rules: classify before prompting, document the choice, favor abstraction References to Italian Law 132/2025, the AI Act and the implications of extra-EU data transfers <p>Weekly insights at nicfab.eu.</p> <p>Follow NicFab Podcast at https://podcast.nicfab.eu Subscribe...

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  Episode #7

  Legal Prompting - Legal Prompting in corporate compliance workflows

  May 4, 20265 minS1

  <p>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.</p> <p>In this episode we discuss Legal Prompting in corporate compliance workflows: privacy, anti-corruption, anti-money laundering, information security, organisational liability models, internal controls.</p> <p>The starting principle: AI is not a neutral tool that adds to an existing process. AI changes the process, changes who does what, how a decision is documented, who is responsible for an outcome.</p> <...

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  Episode #6

  Legal Prompting - AI-assisted contract and clause analysis

  Apr 27, 20265 minS1

  <p>In this sixth episode we apply prompting techniques to contract analysis.</p> <p>Four distinct operations, each with its own prompt:</p> 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 quality of the output depends on how specific the checklist is, and it must be built beforehand. DPA analysis against article 28 of the GDPR: each letter of paragraph 3 as an item in a structured verification. <p>Three non-negotiable cautions: the model does...

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