Méthodes et observations sur la conformité, l'expansion et l'IA.
Nous consignons les questions qui reviennent dans les projets internationaux comme un jugement réutilisable pour les équipes. Avec un accent sur l'IA et le droit et sur les grands dossiers internationaux.
Launching AI across countries: draw an 'obligation map' first
The same AI feature may be free, label-required, approval-required, or banned across countries. Map it before launch.
Lire la suite →An AI incident response plan: decide who does what before it goes wrong
A model outputs illegal content, leaks data, or causes harm — how fast you handle an AI incident usually depends on the plan you made beforehand.
Lire la suite →Bias testing isn't just ethics — it's legal evidence of 'due care'
When an algorithmic decision is challenged as discriminatory, whether you have systematic bias-testing records can be the dividing line on liability.
Lire la suite →License traps in open models: not every 'open source' allows commercial use
Many popular models carry usage restrictions. Reading them before launch is far cheaper than changing course after.
Lire la suite →Practice review: advertising compliance in overseas influencer marketing
Using overseas influencers without labeling 'ad' can violate local advertising law. A marketing-compliance review.
Lire la suite →AI voice cloning and likeness rights: the boundary for global products
Synthesizing someone's voice looks like a mere technical capability, yet it can touch personality and publicity rights.
Lire la suite →Selling AI to enterprises: governance evidence sets your deal speed
Enterprise AI buyers ask a full set of governance questions. Preparing the evidence in advance can cut months from the sales cycle.
Lire la suite →Practice review: one arbitration clause that decided the cost of a dispute
The most overlooked part of a cross-border contract is often the dispute-resolution clause. Reviewing the logic of governing law and seat.
Lire la suite →A compliance map for facial recognition: from consent to bans
From explicit consent to outright bans in specific settings, the regulatory intensity of facial recognition varies enormously.
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