AI
AI companies need counsel who understands the technology behind the product, not only the documents around it.
A model may be trained on third-party data, fine-tuned on proprietary datasets, integrated into another platform, deployed in a regulated sector, or used to generate outputs that affect real decisions. Each of these choices can change the legal position: who owns the relevant IP, what disclosures are needed, how data may be used, where liability sits, and which regulatory obligations apply.
Aurum works with AI-native product companies, businesses integrating third-party models, companies training or fine-tuning models on proprietary data, and organisations deploying AI in sectors such as blockchain, finance, healthcare, infrastructure, education, and professional services.
We help clients structure the legal layer around the product itself: IP ownership and training data rights, data protection, commercial risk allocation, product documentation, liability frameworks, and regulatory positioning across key markets, including the EU and US.
Clients come to us when they need counsel that understands what they are building, how their product functions, and where the real legal risk sits.
A New Legal Environment
AI products are reaching the market faster than the legal frameworks around them can fully settle.
Some obligations are already in force, especially in areas such as data protection, consumer protection, employment, financial services, healthcare, and sector-specific regulation. Other issues remain developing, including the treatment of training data, ownership and protectability of AI-generated outputs, liability for automated decisions, and governance standards for general-purpose AI and high-risk systems.
This creates a difficult operating environment for AI companies: the legal risk is not found in one statute, one regulator, or one jurisdiction. It sits across data, IP, product liability, contract law, platform rules, sector regulation, and AI-specific frameworks.
Aurum helps AI businesses build legal structures and compliance that can hold across these layers. This includes IP and data rights, privacy compliance, AI product terms, liability allocation, customer and enterprise contracts, governance documentation, and regulatory positioning across major markets.
Other details
Cases and highlights
- Advised a software development company on the legal structuring of an AI-powered video processing platform, including cross-border corporate structure, IP ownership arrangements, user documentation, and product launch support.
- Advised an AI-powered B2B banking platform on legal structuring, product documentation, and payment regulatory considerations across multiple jurisdictions and currencies.
- Advised an AI-powered fundraising launchpad on platform structuring, user documentation, product terms, and applicable regulatory requirements.
- Counselled a product company on compliance frameworks for integrating third-party AI models, including provider contracts, liability allocation, data protection obligations, and IP risk management.
- Advised a technology company on the integration of third-party AI models into internal operations, including provider contracting, liability allocation, data protection, and IP risk management.
- Released Aurum AI, our proprietary AI hub for legal work and AI-enabled service delivery.
Get in touch:
We welcome your inquiries and are here to assist you with your legal needs. Feel free to email us at [email protected] or connect with the firm on WhatsApp or Telegram for immediate assistance.
