Every practitioner below lists insurance as a focus industry. Sector context matters: it shapes which use cases are high-risk, what documentation buyers will demand, and what a realistic budget looks like.
Zurich consultancy extending ISO 27001 programmes at banks and insurers to cover ISO 42001 and EU AI Act obligations.
Madrid and Lisbon consultancy taking financial services firms from AI Act gap analysis to an ISO 42001 implementation retainer.
ISO 42001 and NIST AI RMF gap analysis and implementation for Canadian banks, insurers and fintechs.
London and Paris lawyers advising employers, payment firms and insurers on EU AI Act and GDPR obligations.
Munich technology lawyers advising banks, insurers and their software suppliers on EU AI Act and GDPR obligations.
Chicago employment and insurance counsel for AI in hiring and underwriting under Illinois HB 3773 and the EU AI Act.
Paris business law firm advising banks, insurers and their vendors on EU AI Act and GDPR obligations, mostly on retainer.
Small Rome law practice advising health providers, medtech vendors and insurers on AI Act and GDPR, retainer only.
Remote EU AI Act gap analysis and bias audits for insurers, lenders and fintech platforms using models in decisions.
Munich boutique of lawyers with technical backgrounds advising on EU AI Act compliance, AI contracts and data law.
Common questions
Risk assessment and pricing for life and health insurance of natural persons is an Annex III high-risk use; other insurance lines are not listed. Claims and pricing AI in those lines still faces GDPR automated-decision rules, and any creditworthiness element falls under the Annex III credit category.
Of the 4 insurance practitioners on this page that disclose a gap-analysis band, the most common is $15k–$50k (50% of those disclosing). Sector-specific documentation — bias testing, clinical evidence, model cards for procurement — drives the upper end. Compare disclosed bands and request intros from two or three shortlisted providers.