GDPR for AI Compliance Consultants
- Consultants come from three backgrounds: data protection practice, AI and data engineering, and regulatory practice. A programme needs all three.
- Data protection expertise alone is not enough. Someone has to understand training pipelines and what can actually be changed in a model.
- Ask for a redacted DPIA covering an AI system. It is the fastest capability test available.
- A good consultant is precise that the Digital Omnibus GDPR changes are proposals, not law.
- Day rates commonly run £700 to £1,600. Fixed fees per phase suit a first programme.
Where they come from
GDPR for AI consultants establish that your AI processing is lawful, produce the assessments that show it, design the safeguards, and build the processes that answer people's rights.
This guide is about the people. Where they come from, what credentials mean, and how to test capability when the subject sits between two disciplines that rarely live in the same person.
Data protection practice. Practitioners from privacy roles, DPO positions or data protection law. Their strength is the legal analysis: lawful basis, Article 9 conditions, Article 22, rights. Their limit is usually technical, which shows in DPIAs that describe processing in the abstract and never engage with how the model was actually trained.
AI and data engineering. Practitioners who have built training pipelines and deployed models. Their strength is knowing what is technically possible: what de-identification actually achieves, what filtering can do, whether a person can be removed from a training set, what an objection route requires in the pipeline. Their limit is the legal framing.
Regulatory practice. Practitioners who have taken organisations through supervision and examination. Their strength is knowing what a supervisory authority accepts as sufficient documentation, which is judgement learned by having been examined. This is our own background, described on the about page.
The combination is genuinely scarce. A privacy specialist with no technical depth produces documents that read well and fail the first technical question. An engineer with no legal grounding produces safeguards without knowing which obligation they discharge.
What credentials mean
Common qualifications include CIPP/E, CIPM and CIPT from the IAPP, various DPO certifications, and legal qualifications in data protection.
CIPT is worth noting specifically, because it is the technology-facing one and its holders are more likely to engage with how systems work. But no certification indicates AI-specific capability, because none is specifically about AI.
The more informative question is how many DPIAs covering AI systems this individual has personally written, and whether any of them were reviewed by a supervisory authority or a demanding customer.
The fastest capability test
Ask for a redacted DPIA covering an AI system.
Look for whether it engages with the actual system: where the training data came from, what the model does, what happens when it is wrong, who reviews outputs and with what authority, what de-identification was applied and what it achieves. Look at whether the risks identified lead to measures that would actually change something.
A DPIA that describes the processing generically, lists standard risks, and proposes standard measures is a template. It may satisfy a box-ticking review. It will not survive a regulator asking why a particular safeguard was considered sufficient.
The second test
Ask how they would handle an erasure request against a trained model.
A good answer distinguishes removing data from the training set, excluding it from future training runs, applying output filtering, and the technical reality that influence already absorbed into model weights cannot straightforwardly be removed. It then explains how that position gets documented and communicated to the person.
A weak answer either promises full erasure, which is not technically honest, or says it is impossible, which is not a complete answer either. The correct response is a reasoned, documented middle position, and knowing that is the mark of someone who has actually handled one.
What a good consultant does differently
They separate the purposes before anything else. Collection, training, evaluation and production, each with its own basis.
They ask about training data provenance early, because the answer is frequently unknown and takes time to establish.
They design the objection route as part of the system rather than as a policy statement, because regulator decisions have treated it as central to whether legitimate interests holds.
They test whether human review is real: does the reviewer have time, information and authority to disagree.
They are precise about what is law and what is proposal. The Digital Omnibus provision creating an explicit legitimate interest basis for AI training is in the data regulation, which has not been adopted. A consultant presenting it as settled is either not current or not careful.
They say when a legal opinion is the right instrument rather than absorbing an uncertain position quietly.
How they charge
| Model | Typical range |
|---|---|
| Inventory and purpose mapping | £4,000 to £12,000 |
| Lawful basis and legitimate interests assessments | £3,000 to £10,000 |
| DPIA, per system | £4,000 to £15,000 |
| Full first programme | £12,000 to £40,000 |
| Day rate | £700 to £1,600 |
| Outsourced DPO retainer | Scope dependent |
Fixed fee per phase generally beats a day rate, and DPIAs should be priced per system.
What no consultant can do
Certify you. There is no GDPR certification for AI.
Make unlawful processing lawful. Where no basis is available, the processing has to change.
Remove someone from a trained model. What they can do is document the measures and the reasoning honestly.
Guarantee a supervisory authority's view.
What to do next
Work out which capability you are short of. If your privacy function is strong but nobody understands the training pipeline, you need the technical side. If your engineering is strong but nothing is documented, the reverse.
Our free AI impact assessment gives a first view, and the GDPR for AI service page sets out how we work.
References
FAQ
What qualifications should a GDPR for AI consultant have?
CIPP/E, CIPM, CIPT or a legal qualification are common. None is AI-specific, so DPIAs personally written for AI systems matter more.
How do I test capability?
Ask for a redacted DPIA covering an AI system, and ask how they would handle an erasure request against a trained model.
Do we need a lawyer instead?
For genuinely uncertain positions or a regulatory investigation, yes. For the operational work, a consultancy is the right instrument.
How much does a consultant cost?
Day rates commonly £700 to £1,600. Full first programmes commonly £12,000 to £40,000, with DPIAs priced per system.
Should they know the technical side?
Yes, or the firm should bring someone who does. Safeguards that cannot be implemented in the pipeline are not safeguards.
About Hael
Hael is an advisory firm specialising in AI governance and security compliance, built on fifteen years of regulatory practice advising firms through authorisation, supervision and examination. Every engagement has a named practitioner and an agreed scope, timetable and fee. On engagements involving regulated financial services firms we work alongside Buckingham Capital Consulting, the partner firm that has advised payment and e-money firms on FCA authorisation and compliance since 2013.
This guide is general information and is not legal advice on your particular circumstances.