Founder agreements, equity structures, contracts and employment, IP, financing, filing and data compliance, offshore structures, dispute resolution, M&A exit — not just legal documents, but a real penetration into your technical architecture and business logic.
Five business blocks plus a cross-cutting dispute resolution line — 28 services in total: formation & operations, intellectual property and data, compliance and filing, cross-border and going global, and financing, M&A and exit, with dispute handling set alongside them. Each backed by deliverable, verifiable service packages.
Before registration: entity form, place of incorporation and holding vehicle. Before a round: founder agreements, equity split and vesting. When key hires join: option pool and holding platform. On the contract side, SaaS and API agreements, data processing terms, employment, non-compete and tax are built in one pass — get this layer right and later financing and M&A diligence can cite the originals instead of rewriting them.
Algorithm patents and software copyright, trademarks and brand, open-source licence clearance, trade-secret grading and access trails; on the data side, training-data provenance and licensing chain, a personal-information processing inventory, and graded protection filing. The deliverables are one indexable IP schedule and one data schedule — the same two documents serve financing diligence, overseas review and dispute evidence.
Before launch: whether ICP/EDI and scope licences are required, plus algorithm filing, LLM registration and an AI content-labelling scheme. When a regulator enquires, a platform audits or criminal exposure surfaces, we handle the investigation and remediation. Deliverables are filing materials that clear review, an operable labelling specification, and internal rules that hold up under inspection.
Export-control and sanctions screening first, then the data transfer path (security assessment, standard contract or exemption), then alignment with the EU AI Act, US state law and Southeast Asian rules, and finally the offshore entity, employment and tax. The four tracks run in parallel but cannot be reordered — any one running late blocks launch or collection.
Before a round: clean up equity, the option pool, IP and data schedules; at the table: liquidation preference, anti-dilution, redemption and earn-outs. On the M&A side: deal structure, diligence response and drag-along. For a listing: share reform, corporate history and compliance workstreams mapped early. Structure fixed before the term sheet is structure you can still adjust.
This is why we do not practise as generalists. Each layer has its own compliance starting point, trigger timing and first-order risk — a generic template fails at the first step.
Training-data title, LLM filing and safety assessment, compute and Token supply — until these three are resolved, no downstream product or sales arrangement can be built.
Cases in this layer →Aggregation platforms, video-generation agents, AI digital humans — very different on the surface, yet all land on the same three points: algorithm and generative-service filing, AI content labelling, and personal-information handling rules.
Data is processed inside the device, product liability is split between manufacturer and algorithm provider, and safety assessment for embodied AI has no settled template — this layer has the fewest precedents and is most often misjudged by generic advice.
Cases in this layer →Going global and capital events do not sit in any single layer — they cut across all three: whether the product may be sold there, and how equity and assets are held. Those follow the question, not the position in the chain.
We don't do everything.
Every link of the AI industry chain — financing, filings, data, going global — Geason has handled and delivered, itself.
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.
From the first conversation to growth and exit, we have a proven way of working. Each stage has clear deliverables.
Weekly industry briefs and regular in-depth practice guides. Practice research for AI companies, not academic surveys.
Every case states three things — which obligation was triggered, what we judged, and what was delivered.
Algorithm filing, deep-synthesis filing, and generative-AI safety assessment in parallel, with an asset pack ready for financing DD.
View case studies → LLM / Foundation ModelFoundation-model companies complete filing registration and safety assessment before launch, with corpus compliance recorded upfront.
View case studies → AI Hardware / Smart DevicesOn-device data processing, data localization, and product-safety framework that narrows a hardware product's compliance radius.
View case studies → AI Product / EU MarketAI Act risk classification, high-risk obligation mapping, and DPIA to enter EU client procurement.
View case studies → AI SaaS Going-GlobalSingapore hub connecting PIPL / PDPA / GDPR multi-jurisdiction and data-export paths.
View case studies → AI Company / Financing & M&AConsolidating scattered compliance results into a verifiable asset pack linking equity and data-ownership DD.
View case studies →A published subset only — the full engagement record covers 100+ companies across the AI industry chain.
Six compliance domains, each mapping to a real regulatory question you will face — open a domain for practice guides, regulation analysis, checklists and updates.
Filing, registration and on-device AI paths before launch.
Training data, personal information and cross-border transfer.
EU AI Act, GDPR and multi-jurisdiction strategies.
Training-data copyright, model-parameter protection, patents.
Compute scheduling, GPU export controls, Token/API.
Equity, contracts, employment, tax and M&A exit.
Enter full knowledge base →Our research team continuously produces industry reports and operational guides. Leave your email for the latest research.
Whitepapers, regulation analysis, and compliance toolkits are continuously updated. Leave your info to get them first.
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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