For middle-market SaaS vendors and mid-sized enterprises, our complete assessment lifecycle is typically completed within **14 to 30 days**. Large enterprises with complex databases, multiple legacy systems, and global sub-processor networks can take up to 45 to 60 days.

We deliver an immediate compliance roadmap within the first 10 days, allowing your development and legal teams to address critical, high-impact compliance items while we complete your formal Records of Processing Activities (RoPA) and documentation.

Under GDPR Article 28, you are legally responsible for selecting vendors that provide sufficient guarantees of data security. If a sub-processor experiences a breach, your organisation can be held jointly liable by EU regulators if your vendor onboarding records, contracts (DPAs), and risk audits are found to be deficient.

Path manages this risk by establishing a strict vendor risk framework. We review vendor certifications (such as ISO 27001 or SOC 2), verify their DPA terms, audit their data processing limits, and set up clear indemnity terms in agreements to shield your business from sub-processor faults.

The EU-US Data Privacy Framework (DPF) provides a legal basis for transferring data to certified US companies without needing Standard Contractual Clauses (SCCs). However, relying solely on DPF certification is a compliance risk, as the framework faces ongoing legal challenges and does not apply to non-certified vendors.

Path builds a multi-layered compliance program. We verify DPF certifications, put in place backup Standard Contractual Clauses (SCCs) for all key infrastructure relationships, and complete formal Transfer Impact Assessments (TIAs) to guarantee your global data transfers remain legally robust regardless of framework changes.

GDPR Article 22 grants users the right not to be subject to decisions based solely on automated processing (such as profiling or AI decision-making) that produces legal or significant effects. Legally deploying these features requires a valid legal basis (such as explicit user consent), clear transparency reports, and a simple mechanism for users to request human intervention.

We work with your product teams to design clear, user-facing consent dialogues, draft required algorithmic impact disclosures, and build the backend structures needed for human-in-the-loop validation, ensuring your AI systems meet both GDPR and upcoming EU AI Act standards.

We reject the traditional approach of legal consultancies that drop generic files on developers. Our technical advisors have software engineering backgrounds. We translate legal requirements directly into practical developer tasks (e.g. database schema changes, API authentication rules, or deletion routines).

We work directly within your project management tools (such as Jira or GitHub), writing clear engineering tickets and reviewing database models during your sprints to ensure your systems remain compliant without slowing down your roadmap.