Intellectual Property, Data & Technology

When organisations call us

• Product built by founders, employees, software houses and contractors — with incomplete assignment paperwork.
• Open-source components, external models or datasets are embedded and nobody holds the licence map.
• An investor, buyer or enterprise client announces due diligence.
• Data, APIs, platform or content are being monetised; generative AI enters the development process.
• A dispute looms over licence scope, ownership of results or permitted further use.

Questions we help answer

• Do we actually own what we sell — code, data, models, content?
• Which agreements are missing, and in what order do we fix them?
• What does our open-source exposure look like in the components we ship?
• Can we prove data provenance and rights for what our AI was trained on and processes?

How we can support

• Chain-of-title review — creators, contracts and gaps across the asset base, with a prioritised repair plan for legal execution.
• IP and data inventory — what exists, who made it, on what terms it is used.
• Open-source hygiene — dependency inventory, licence classification and policy for what ships.
• Contract architecture — assignment and licensing patterns for employees, contractors and vendors, prepared for counsel review.
• Data & AI rights — provenance, permitted use and documentation standards for datasets and model outputs.
• Diligence data room — index and evidence that answer questions before they are asked.

Typical work products

Asset and creator inventory, chain-of-title gap report, open-source register and policy, contract pattern set for legal review, data provenance standard, data-room index, remediation roadmap with owners.

Formal legal opinions and registrations remain with qualified counsel and patent/trademark attorneys; we prepare the ground so their work is fast and precise.