Insights

Methods and observations on compliance, expansion, and AI.

We write up the questions that recur across cross-border projects, as reusable judgment for teams.

AI & Law

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.

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AI & Law

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.

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AI & Law

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.

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AI & Law

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.

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Cross-Border Cases

Practice review: advertising compliance in overseas influencer marketing

Using overseas influencers without labeling 'ad' can violate local advertising law. A marketing-compliance review.

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AI & Law

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.

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AI & Law

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.

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Cross-Border Cases

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.

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AI & Law

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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