How the firm assists
Services
AI governance and risk allocation
Advice and implementation tailored to the right, transaction, dispute and commercial objective.
Software development and licensing agreements
Advice and implementation tailored to the right, transaction, dispute and commercial objective.
Training-data, ownership and authorship advice
Advice and implementation tailored to the right, transaction, dispute and commercial objective.
Technology procurement and implementation contracts
Advice and implementation tailored to the right, transaction, dispute and commercial objective.
Confidentiality, data and cybersecurity provisions
Advice and implementation tailored to the right, transaction, dispute and commercial objective.
Platform, intermediary and digital-content issues
Advice and implementation tailored to the right, transaction, dispute and commercial objective.
Legal context
Governing framework
Technology matters can engage intellectual-property, contract, electronic-transactions, cybercrime, privacy, telecommunications, consumer and competition law. Because regulation is developing, advice should distinguish binding law from proposed policy, contractual standards and sector-specific requirements.
From instruction to outcome
Likely stages
- Map the system, participants, data, outputs and intended deployment.
- Identify ownership, confidentiality, regulatory and liability risks.
- Allocate responsibilities through governance, procurement and licence terms.
- Assess data provenance, permissions, security and human oversight.
- Establish approval, audit, incident and change-management processes.
- Review deployment as law, technology and business use develop.
Preparing an instruction
Documents commonly required
- System and product description
- Development, licence and procurement agreements
- Data sources, permissions and processing maps
- Model or vendor documentation and risk assessments
- Information-security and incident policies
- Employment, contractor and confidentiality terms
Practical guidance
Frequently asked questions
Who owns AI-generated material?
Ownership and protectability depend on the facts, human contribution, contracts, applicable IP rules and the jurisdictions involved. Contractual allocation should not be left implicit.
Can public data automatically be used for training?
Availability does not necessarily establish permission. Copyright, confidentiality, privacy, contract and platform terms should be assessed.
Why is AI governance needed before regulation is final?
Governance helps organisations manage present contractual, confidentiality, discrimination, security, consumer and reputational risks while maintaining evidence of responsible decision-making.
Relevant experience