Privacy Impact Assessment · DPIA · High-Risk Processing

DPIA Services & Data Protection Impact Assessments

DPIA services and Data Protection Impact Assessments for higher-risk or complex processing — including formal DPIAs where required under GDPR, UK GDPR or another applicable data-protection regime.

Each DPIA or privacy impact assessment follows the law that actually governs the processing. We do not treat the GDPR DPIA template as a universal global standard.

Privacy Impact & Risk Assessment

Use the Assessment Model Required by the Applicable Regime.

A high-risk processing activity should not be forced into a GDPR template if GDPR is not the governing law. We first determine the applicable privacy regime and the assessment trigger, then use the required DPIA, PIA, privacy-risk or accountability methodology.

The analysis focuses on the facts: purpose, data categories, individuals affected, technology, monitoring, decisions, vendors, international access, necessity, safeguards and residual risk. This makes the output usable by legal, compliance, product, security and management teams.

Relevant beyond GDPR

Formal impact-assessment expectations also arise outside the EU context. The terminology and trigger differ by jurisdiction, which is why the service is positioned as Privacy Impact & Risk Assessment, with DPIA used where it is the correct legal instrument.

How we can help

Privacy Impact Assessment & DPIA Services.

Focused assessments for a single activity, vendor or product, or a broader review of higher-risk processing across the business.

01

Assessment Screening & Scoping

Determine whether a formal DPIA, PIA or another privacy-risk assessment is required and define the correct methodology.

  • Applicable-law screening
  • Assessment trigger analysis
  • Scope and stakeholder plan
02

Full Privacy Impact Assessment

Assess the processing, purposes, necessity, risks, controls and residual exposure using the structure required by the applicable regime.

  • Processing description
  • Risk and control analysis
  • Documented conclusions and actions
03

AI & Automated Decision-Making Review

Assess privacy risks created by AI, scoring, automated decisions and model-driven processing alongside applicable transparency and governance duties.

  • Data inputs and purpose review
  • Human oversight and explainability
  • Privacy / AI governance alignment
04

Profiling, Monitoring & Fraud/KYC Data

Review higher-risk monitoring, behavioural analytics, transaction surveillance, KYC and fraud-processing models.

  • Monitoring and profiling logic
  • Necessity and proportionality
  • Safeguards and escalation
05

Biometric & Sensitive Data Assessment

Assess identity verification, biometrics and other sensitive-data processing against applicable restrictions and enhanced safeguards.

  • Data-category analysis
  • Alternative / minimisation review
  • Security and retention controls
06

New Product & Privacy-by-Design Review

Embed privacy requirements before launch or material product change rather than remediating after deployment.

  • Feature and data-flow review
  • Default settings and minimisation
  • Launch conditions and evidence
07

Risk Treatment Recommendations & Residual Risk

Translate the assessment into proportionate risk-treatment recommendations, document residual risk and identify the decisions or approvals required before processing proceeds.

  • Risk-ranked recommendations
  • Residual-risk assessment
  • Decision, approval and follow-up actions
08

Regulator / Prior-Consultation Support

Where the applicable regime requires authority engagement or consultation, prepare the assessment record and support the response process.

  • Consultation readiness
  • Supporting documentation
  • Regulatory response coordination
Regime-specific scope

DPIA Under GDPR & UK GDPR.

Where EU GDPR or UK GDPR applies, the assessment is structured as a DPIA when the relevant high-risk threshold is met, using the applicable legal framework and current supervisory guidance.

GDPR / UK GDPR

DPIA Screening

Assess whether the planned processing reaches the relevant high-risk threshold and document the reasoning before deciding whether a full DPIA is required.

GDPR / UK GDPR

Full DPIA

Describe the processing, assess necessity and proportionality, identify risks to individuals and document the measures used to reduce those risks.

GDPR / UK GDPR

Residual Risk & Governance

Escalate unresolved high risk, define decision ownership and support any regulator consultation or additional governance required under the applicable EU or UK regime.

Beyond GDPR

PIA & Risk Assessment Under Other Regimes.

Outside EU/UK GDPR, privacy impact assessment requirements and terminology differ. Some laws contain their own DPIA model; others rely on broader accountability, risk assessment or data-protection management obligations.

Other applicable regimes

Local Assessment Trigger

Determine whether the governing law requires a DPIA, PIA or another structured privacy-risk assessment for the proposed processing.

Other applicable regimes

Regime-Specific Methodology

Adapt the assessment criteria, documentation, consultation steps and approval path to the relevant national framework instead of importing GDPR wording by default.

Other applicable regimes

Product & Technology Risk

Use the assessment to address AI, profiling, biometrics, monitoring, KYC/AML data, new technologies and other higher-risk uses in the context of the applicable regime.

Multi-jurisdiction projects

One Operating Model.
Jurisdiction-Specific Overlays.

For products launched in several jurisdictions, we can use one core processing and risk analysis, then add the legal tests, required approvals and documentation specific to each regime. This keeps the assessment operationally coherent while preserving legal accuracy.

When a formal assessment may be needed

Risk Factors That Commonly Justify Structured Privacy Assessment.

The legal trigger varies by regime. These factors are practical indicators for screening; they are not a substitute for the jurisdiction-specific threshold test.

Profiling & automated decisions
Scoring, ranking, eligibility, fraud decisions or other automated evaluation that can materially affect individuals.
Systematic monitoring
Behavioural, transaction, location, communications or user-activity monitoring at scale.
Sensitive or biometric data
Identity verification, biometrics, health data or other categories receiving enhanced protection under the relevant regime.
New technology & AI
Novel data uses, AI models or product features where the privacy impact is uncertain or difficult for individuals to anticipate.
Large-scale or linked datasets
High-volume processing, combining datasets or extensive identity / behavioural profiles.
Complex vendor & cross-border processing
Material outsourcing, remote access, sub-processors or international flows that change the risk and accountability model.
Who we work with

Higher-Risk Processing in Regulated & Data-Intensive Businesses.

We focus on businesses where the DPIA requirement intersects with financial-sector regulation, AI obligations or complex cross-border data flows — not only generic privacy risk scenarios.

CASPs & Crypto
DPIA for KYC onboarding, wallet analytics, transaction monitoring and biometric verification — addressing the GDPR/AML overlap and MiCA data governance requirements.
FinTech & Payment Institutions
DPIA for payment processing, fraud detection, credit scoring and automated onboarding decisions — where Article 22 GDPR and AML obligations interact.
SaaS & Technology
Privacy risk assessment for new products and features, vendor integrations and AI-driven functionality — privacy-by-design review before development is complete.
AI & ML Companies
AI privacy assessment covering DPIA requirements, Article 22 automated decision-making obligations and EU AI Act high-risk AI system requirements.
EMIs & Investment Firms
DPIA for large-scale identity, suitability and transaction data processing — investor and banking partner due diligence increasingly includes review of DPIA documentation.
Any Organisation with High-Risk Processing
Any business launching a new processing activity, deploying a new system or onboarding a vendor where the processing triggers the Article 35 GDPR DPIA threshold.
Why LEX ARTA

Why LEX ARTA for DPIA & Data Protection Impact Assessments.

Higher-risk processing needs an assessment that is legally grounded, fact-specific and usable by management, product, compliance and technical teams — not a generic questionnaire.

Practitioner-led assessment
Senior legal and compliance practitioners remain involved in scoping, assessment and review, particularly for regulated or higher-risk processing.
Multi-regime analysis
The assessment method follows the law and supervisory framework that actually applies. GDPR/UK GDPR DPIAs are used where relevant; other jurisdictions are not forced into a GDPR template.
Regulatory integration
Privacy risks are assessed alongside AML/KYC, AI governance, financial regulation, outsourcing and technology controls where those obligations affect the same processing.
Quality-controlled evidence
Outputs are reviewed for factual accuracy, legal consistency, traceability of risk decisions and alignment between the assessment, controls and underlying processing model.
Credentials. Legal and regulatory background at PhD level · data protection and compliance experience gained through DPO and Compliance Officer functions within regulated businesses · ACAMS Certified · CySEC AML Certified. Artlex Consult s.r.o. operates as a regulatory and compliance advisory firm; we are not a law firm and do not provide legal representation.
Common questions

Privacy Impact & Risk Assessment — Frequently Asked Questions.

Is every privacy impact assessment a GDPR DPIA?
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No. DPIA is a specific term used by GDPR and some related regimes, while other jurisdictions may use PIA, privacy-risk assessment, accountability assessment or another formal model. The assessment should follow the regime that actually applies.
What does a privacy impact assessment examine?
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It normally examines the processing purpose, data involved, individuals affected, necessity, proportionality or reasonableness where relevant, risks, safeguards, governance and residual risk. The mandatory structure depends on the applicable law or regulatory guidance.
When should the assessment be performed?
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Ideally before a new or materially changed higher-risk processing activity goes live. Early assessment allows the business to change the design, data use, vendor arrangement or controls before remediation becomes costly.
Can KYC, AML or fraud monitoring create privacy risk?
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Yes. These activities can involve identity data, transaction data, profiling, monitoring, vendor tools and regulatory retention requirements. Whether a formal assessment is legally required depends on the applicable regime, but the privacy risk may still warrant structured review.
How do AI and automated decisions fit into the assessment?
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AI and automated processing can create additional issues around data inputs, transparency, purpose, profiling, bias, human oversight and security. Privacy analysis should also be coordinated with any separate AI-governance obligations that apply.
What is the output?
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A documented assessment of the processing and risks, a clear conclusion on residual exposure, and a practical remediation plan with owners and evidence requirements. Where authority consultation or approval is required, the assessment can support that process.
Data Protection Services

Explore Data Protection Services.

01
GDPR Compliance Services →
02
GDPR Audit & Independent Privacy Review →
03 · Current
DPIA & Privacy Impact Assessment
04
Outsourced DPO & Privacy Governance →
05
Privacy Documentation & DPAs →
06
International Data Transfers →
Overview: Data Protection — Overview
Need a DPIA, PIA or privacy impact assessment?
Impact-assessment engagements are scoped around the processing activity, applicable regime, systems, data categories and risk profile. A tailored scope is provided following an initial assessment.