Geason Law Offices. From founder agreements and equity structure to IP protection, algorithm registration, data compliance, cross-border deployment — one team covering every legal need across every stage of your AI company.
AI companies face fundamentally different legal challenges at each stage. We organize our services by lifecycle — wherever you are, there's a fit.
From founder agreements to commercial contracts, from IP protection to algorithm registration — every step in the domestic market needs a legal framework.
From EU AI Act to multi-jurisdiction compliance, from cross-border data to M&A exit — growth and exit paths need professional legal design.
The legal challenges facing AI companies are fundamentally different from traditional tech — it requires understanding tech architecture, tracking global regulations, and accumulating industry knowledge. Choosing a firm is essentially choosing their depth of investment in AI.
We don't disclose client names or identifying details. But these problems and solution paths are from real projects we've run repeatedly. See if any match what you're facing.
The most common starting point for AI startups: how to split equity among founders, how large the option pool should be, how to set vesting, and what happens when a partner leaves. Many teams sign agreements using online templates, only to find loopholes during financing — no vesting, no buyback rights, no IP assignment, requiring complete redo at investor request.
Solution: Designed equity structure from three dimensions: founder relationships, contribution ratios, and exit mechanisms. Built vesting and buyback system, reserved 15-20% option pool, defined IP assignment. Fixed historical issues before financing, ensuring investor diligence passed on first try.
Once an AI product has overseas users or expansion plans, it faces overlapping regulatory requirements. Uncertainty about EU AI Act compliance, ambiguous GDPR applicability, and conflicts between Chinese and EU data rules with no clear priority.
Solution: Started with applicability assessment — which jurisdictions' rules apply, what's the risk level. Built compliance plans per jurisdiction, prioritized by urgency. Not translating laws, but finding intersection and divergence points across jurisdictions.
AI companies' biggest asset is technology, but many teams lack systematic IP protection. Core algorithms without patent filings, unclear training data sources, no open-source compliance review, ambiguous employee development IP ownership. During financing diligence, investors find core IP unprotected and discount valuation.
Solution: Built IP system across patent filings, software copyrights, and trademark protection. Reviewed open-source component compliance (GPL/MIT/Apache identification), clarified employee development IP ownership, established internal IP management processes. Delivered complete IP portfolio and protection strategy during financing.
Algorithm registration is the first hurdle for AI product launch. Tech teams don't know how to write filing materials, security assessment reports get repeatedly rejected, products already live face remediation pressure — these issues appear at every AI product launch starting point.
Solution: Full-process agency from algorithm mechanism description to security self-assessment report. First mapped product tech architecture, then selected optimal filing path — what must be filed, what can be merged, what should delay launch to build compliance foundation first. Average 2-4 weeks.
From the first conversation to ongoing growth and exit, we have a proven collaboration method. Each stage has clear deliverables — it's not just 'we'll look into it.'
Weekly industry briefs and regular in-depth practice guides. Our research on AI regulations isn't academic papers — it's written for AI companies.
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Geason Law Offices, based in Shenzhen. We chose a narrow but deep path — serving AI industry chain companies exclusively, providing full lifecycle legal services from incorporation to exit. Our team covers data security law, personal information protection, algorithm registration, EU AI Act, GDPR, and cross-border data transfer.
Our clients include AI product R&D companies, AI platform operators, and AI-focused investors. Core services span six areas: algorithm registration and LLM filing, data compliance and privacy protection, criminal compliance and regulatory response, EU AI Act compliance, GDPR and cross-border data dual-track adaptation, and multi-jurisdiction AI industry chain legal services.
Geason Law Offices, based in Shenzhen. We chose a narrow but deep path — serving AI industry chain companies exclusively, providing full lifecycle legal services from incorporation to exit.
The legal challenges facing AI companies are fundamentally different from traditional tech. How to structure founder equity, protect core algorithms, navigate financing due diligence, complete algorithm registration, comply with the EU AI Act, manage cross-border data, and design exit paths — these don't need a lawyer on speed dial. They need a team embedded from day one through global deployment.
A focused firm with a concentrated team. No big-firm overhead or departmental silos. Financing, IP, and compliance handled by the same team. Weekly AI legal industry briefings tracking global regulatory developments. That is our depth.
Whatever stage your AI company is at — from founder agreements to exit planning — we've been there before. Schedule a 15-minute initial consultation, no charge, no pitch.
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