Juristiadata connects four areas of expertise that intersect in digital projects: AI compliance and the AI Act, personal data and GDPR, technology contracts, and AI and data governance. The goal: understand what applies, document the trade-offs and move the project forward with clear responsibilities.
Advisory for organisations in France · Executive-level reading · Actionable deliverables · Official sources
Know which usages to govern, at what level and with what evidence.
Usages and roles · Classification and transparency · AI literacy · Documentation and oversight
Decision this enables — Determine the useful level of governance.
Explore AI complianceProtect people without isolating compliance from the project.
Purposes and legal bases · Data and flows · Rights · Processors · Security and DPIA
Decision this enables — Organise a proportionate, documented processing.
Explore GDPR & dataClarify responsibilities before they become a blocking point.
Data · Security · Ownership · Liability · Audit · Reversibility
Decision this enables — Sign, negotiate or renew with explicit points of vigilance.
Explore technology contractsKeep the rules alive after the diagnosis.
Roles · Policies · Registers · Approval · Training · Monitoring and review
Decision this enables — Maintain a usable, traceable framework.
Explore governanceAI projects must be read according to their real usage, the organisation’s role, the data involved, the people affected and the risk level. Compliance doesn’t start with a document — it starts with an inventory and clear decisions.
GDPR plays out in the real data lifecycle. For each processing activity, you need to understand why the data is used, who processes it, where it flows, how long it stays available and how people exercise their rights.
What purpose and legal basis?
What data is necessary, and by whom?
What recipients, processors and transfers?
What duration, security and traceability?
What procedure, reversibility and evidence?
Note — when AI processes personal data, GDPR and the AI framework must be connected.
See the full expertiseReviewing a technology contract goes beyond the visible clauses. It needs to connect the purchased service, the data, the processors, the guarantees, ownership of results and exit conditions.
A useful framework must let you decide, retrieve evidence, pass on the rules and review choices as usages evolve.
Who approves what, and against which criteria?
Where are the rationale, registers and evidence kept?
How do the rules become usable?
What indicators, incidents and reviews?
How does the framework evolve with usages and regulation?
What is the usage? What role does the organisation play? What rules and information?
What data do employees enter? What purposes, guarantees and retention?
Does the supplier use the data? What processors, guarantees, liability and exit conditions?
Who authorises the tool? What usage rules? How do you train, report an incident and review the decision?
A single engagement can involve several areas of expertise, but it always starts with an explicit scope and decisions.
Priority, responsibility, timeline, business impact.
Decision note, roadmap, responsibilities matrix.
See framing offers · Clarify a priority
Map the usage, govern the data, check the supplier, set the rules and train the teams.
Qualify the role, organise the lifecycle, document the choices and prepare client guarantees.
Gather evidence, clarify responsibilities and produce a response consistent with the real framework.
Check service changes, data usages, processors, guarantees and reversibility.
Inventories, maps, flow diagrams.
Define the scope and dependencies.
Qualification notes, gap analyses, priorities.
Arbitrate the order of work and effort level.
Clauses, policies, responsibilities matrices, procedures.
Set the rules and assign roles.
Registers, roadmaps, review materials, evidence file.
Monitor, revise and demonstrate the framework.
The exact content is confirmed once the scope is framed.
Share the context, usages, documents and constraints.
Reframe the need, identify stakeholders and open questions.
Validate the facts and arbitrate business choices.
Qualify roles, risks, dependencies and priorities.
Contribute to approvals and provide missing elements.
Produce the agreed deliverables and trace assumptions.
Take ownership of the rules and the plan.
Debrief, train or support monitoring depending on the engagement.
The EU AI Act, the European Commission, the CNIL, the EDPB and applicable texts.
Scope, assumptions, sources, trade-offs, deliverables and review date are made explicit.
Zahra Boulaich’s profile, publications, speaking engagements and verifiable elements.
Accessibility, confidentiality, minimal data collection and up-to-date content are part of the proof.
| Your need | Expertise involved | Often-relevant intervention |
|---|---|---|
| Know what is a priority | One or more | Audit flash |
| Map and structure usages | AI, GDPR, governance | Framing & mapping |
| Secure a signature or renewal | Contracts, GDPR, AI | Contract review |
| Deploy and maintain the framework | Governance + relevant expertise | Support & governance |
| Align and train the teams | AI, GDPR, governance | Training or workshop |
Understand which usages to govern and which evidence to organise.
Read the guideCheck the key points of a processing activity combining data and AI.
Download the checklistSpot points of vigilance before signing or renewing.
Read the articleOrganise a usable, traceable framework over time.
Read the guideDescribe the situation, the expected decision and the timeline. The first conversation lets us verify the scope and the useful next step.
Confidential conversation · 20 minutes · No commitment
You briefly describe the situation.
The scope is clarified.
A proportionate next step is proposed.
