Geason Law Offices. From algorithm registration before product launch, to EU AI Act and GDPR compliance for cross-border deployment — every step of AI compliance deserves dedicated counsel from start to finish.
Every stage of an AI product lifecycle — from R&D to global deployment — faces distinct legal challenges. We've organized them into two tracks. Whatever step you're at, there's one that matches your current concern.
In the domestic market, compliance is never a single checkbox — registration, data protection, and criminal risk assessment are three dimensions that must work together, from day one of product development.
Going global is not about translating your domestic playbook — it's about facing an entirely different legal system. We've already navigated the EU, US, and Southeast Asia.
AI compliance is not a practice area you can do on the side — it requires continuous tracking of global regulatory changes, deep understanding of AI technology, and a dedicated knowledge base. Choosing a law firm is ultimately about choosing their depth of dedication.
Client names and identifying details are withheld. But these challenges and solutions come from real, repeated experience. See if any resonate with you.
Algorithm registration is the first hurdle for launching an AI product. Typical situations we encounter: the tech team doesn't know how to write filing materials, security self-assessment reports get repeatedly rejected, products already live face rectification pressure when back-filing, and the relationship between LLM registration and algorithm filing remains unclear. These problems appear at the starting line of virtually every AI product launch.
Our approach: From algorithm mechanism descriptions to safety self-assessment reports — we handle drafting and submission end-to-end. First, map your product's technical architecture, then identify the optimal filing path: which items require separate filing, which can be combined, and which should be deferred while foundational compliance is built. For rejections, we respond to each item individually.
After launch, data compliance is the lifeline of ongoing operations. Common pitfalls: privacy policies copied from templates that don't match actual data processing, broken user consent chains that cannot be self-proved, multi-party data flows in API relay scenarios without compliance trail, and inability to produce a complete compliance evidence chain during regulatory inspections or partner due diligence. These problems are product-agnostic — every AI company handling data faces them.
Our approach: Build a full-chain compliance framework from data collection to model output, covering the three core documentation pillars: privacy policy, user consent, and data processing agreements. Establish a compliance trail — not to pass inspections, but to have complete evidence when you need it.
The moment an AI product has overseas users or plans for global expansion, multiple regulatory regimes stack up. The most common dilemmas: uncertainty about whether the EU AI Act applies, ambiguous GDPR applicability determinations, conflicting requirements between Chinese and EU data regimes, and the fragmentation of US state AI laws making priority-setting difficult. Most AI teams discover they need compliance only after they already have overseas users — not the other way around.
Our approach: Start with an applicability assessment — which jurisdictions does your product fall under, and at what risk level? Build compliance solutions jurisdiction by jurisdiction, prioritized by urgency. This is not about translating statutes — it's about identifying where rules intersect and diverge, avoiding redundant compliance work.
We don't deliver a report and disappear. From the first conversation to ongoing operations, here's how we collaborate.
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Geason Law Offices, based in Shenzhen. We chose a narrow but deep path — serving AI companies exclusively, focused solely on compliance.
Why? Because the legal issues facing the AI industry are in a different league from traditional internet. How to handle algorithm registration, how to adapt to the EU AI Act, how to structure data transfers, where criminal liability risks emerge in AI products — these questions don't need a lawyer on speed dial. They need someone embedded from day one of product development, through to cross-border deployment.
That is the direction we chose. A concentrated firm, 100% of time invested in AI compliance. A focused team that stays with you from algorithm registration to tracking the global AI legislative landscape — one team, end to end.
Whether you're preparing for launch, undergoing due diligence, or considering global expansion — let's talk for 15 minutes. We'll help you determine your compliance priorities and starting point.
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