🎙️ AI, passion and responsibility: Florian Ernotte's committed vision
In a new episode of the podcast The Cheat Code, we received Florian Ernotte, founder of Avroy Avocats.
A tax lawyer for ten years, entrepreneur and passionate about technology, he shares a lucid and nuanced vision of artificial intelligence in the world of law.
Beginning and passion
Behind Florian Ernotte's career, there is a double passion: tax law and technology.
Very early on, he understood that these two worlds were not opposed, but complementary.
His ambition? Building a firm capable of supporting businesses globally, by integrating the modern challenges they face.
With his partner, he is developing a solid, agile team capable of covering several legal dimensions.
The firm is gradually becoming a real “one-stop shop” for managers, focusing on the transversality of skills and especially on the long-term relationship with clients.
More than a legal structure, Avroy Avocats stands out as an entrepreneurial project in constant evolution, just like its founder: curious, strategic and focused on the future.
Vision on AI
On the issue of artificial intelligence, Florian Ernotte takes a measured position.
For him, AI is a powerful tool, capable of automating certain time-consuming tasks and optimizing the work of lawyers.
But it should never become a substitute for critical thinking.
He insists on a key point: digital literacy.
Understanding the tools we use is becoming essential.
A lawyer cannot content himself with exploiting technology without mastering its mechanisms, biases, and limitations.
AI can accelerate, assist, structure.
On the other hand, it will not replace strategic analysis, intuition, or professional responsibility.
The role of the lawyer in society goes well beyond the simple production of documents: it involves a vision, ethics and a capacity for judgment that the machine does not have.
Through this exchange, Florian Ernotte invites the profession to open a real debate on the impact of AI, without excessive fascination or systematic rejection.
AI for the future?
Today we are witnessing a form of collective awareness.
The initial enthusiasm around artificial intelligence is giving way to more caution.
Questions are multiplying, especially when it comes to entrusting sensitive decisions such as recruitment or performance evaluation to algorithms.
Movements for more ethical AI are growing.
Users are becoming more demanding, sometimes even more wary, of platforms that automate without transparency.
The question is no longer just technological, it is becoming deeply societal: who do we trust? And how far?
This change in mindset could redefine how we relate to technology.
AI will undoubtedly not be rejected, but supervised, questioned, empowered.
Through this episode, a conviction emerged: the future will not be decided between humans and machines, but in the way in which professionals choose to integrate these tools without giving up their discernment.