🎙️ AI, passion and responsibility: the committed view of Florian Ernotte
In a new episode of the Le Cheat Code podcast we welcomed Florian Ernotte, founder of Avroy Avocats.
A tax lawyer for ten years, an entrepreneur and a technology enthusiast, he shares a clear-eyed and nuanced view of artificial intelligence in the world of law.
Beginnings and passion
Behind Florian Ernotte's path there is a double passion: tax law and technology.
Very early on he understood that the two worlds are not opposed but complementary.
His ambition? To build a firm capable of advising businesses across the board, taking in the modern stakes they face.
With his partner he built a solid, agile team able to cover several legal dimensions.
The firm has progressively become a genuine one-stop shop for company directors, betting on breadth of skill and above all on long-term client relationships.
More than a legal structure, Avroy Avocats stands out as an entrepreneurial project in constant evolution, in the image of its founder: curious, strategic and turned towards the future.
A view of AI
On artificial intelligence, Florian Ernotte takes a measured position.
For him AI is a powerful tool, capable of automating time-consuming tasks and making lawyers' work more efficient.
But it must never become a substitute for critical thinking.
He insists on one key point: digital literacy.
Understanding the tools you use has become indispensable.
A lawyer cannot simply use a technology without mastering how it works, its biases and its limits.
AI can speed things up, assist, structure.
What it will not replace is strategic analysis, intuition or professional responsibility.
A lawyer's role in society goes far beyond producing documents: it carries a vision, an ethic and a capacity for judgement the machine does not have.
Through this conversation, Florian Ernotte invites the profession to open a real debate on the impact of AI, without excessive fascination and without blanket rejection.
AI for the future?
We are seeing a form of collective realisation.
The initial enthusiasm around artificial intelligence is giving way to more caution.
The questions are multiplying, particularly when it comes to handing algorithms sensitive decisions such as hiring or performance assessment.
The movements in favour of a more ethical AI are gaining ground.
Users are becoming more demanding, sometimes more distrustful, of platforms that automate without transparency.
The question is no longer only technological, it has become deeply social: who do we trust? And how far?
That change of mindset could redefine our relationship with technology.
AI will probably not be rejected, but framed, questioned, held to account.
One conviction comes through in this episode: the future will not be decided between humans and machines, but in how professionals choose to bring these tools in without giving up their own judgement.
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