Data flow and role mapping
Identify personal data, sources, purposes, systems, recipients, retention and whether each party is a controller, joint controller or processor.
LexIrunLegal intelligence for AIData protection & privacy
For product and engineering teams, we map what enters the system, which models and vendors touch it, what the product infers and how those choices should appear in the UX, contracts and accountability record.
Where we plug in
Identify personal data, sources, purposes, systems, recipients, retention and whether each party is a controller, joint controller or processor.
Make privacy notices, consent journeys, cookie information and explanations of automated or AI-assisted uses match the live product.
Assess likely impact on people, define mitigations and leave a clear trail of review and approval decisions.
Review processing clauses, model and cloud vendors, due diligence and safeguards for data moving outside the United Kingdom.
Typical trigger points
How we work
We trace the product, people affected, data sources, models, systems, recipients and business purpose.
Mandatory actions are separated from good practice, and the choices that need evidence are made visible.
We prepare the agreed notices, assessments, clauses, registers and review points for the product team.
Send us the context
Include the people and data involved, main model or cloud vendors, launch stage and any UK or international transfers.
The scope is agreed in writing and does not replace cybersecurity testing, a formal DPO appointment or locally authorised advice in another jurisdiction where required.Start a conversation
Tell us what you are building, where it is shipping and what needs to move. We will use that context to make the first conversation useful.