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Privacy Impact Assessment Agent

LegalData Privacy Compliance

Generates and tracks Data Protection Impact Assessments for new products and features that process personal data at scale or with high risk.

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Process steps
6
Integrations
3
Data inputs

GDPR and similar regulations require a Data Protection Impact Assessment before launching any processing activity likely to result in high risk to individuals, but product and engineering teams frequently launch new features without knowing a DPIA is triggered, or treat the requirement as a compliance afterthought completed after launch

Privacy teams are typically small relative to the pace of product development, making it impossible to manually assess every new feature for DPIA triggers like large-scale profiling, automated decision-making, or processing of special category data

Completed DPIAs often sit as static documents that are never revisited even as the feature evolves, leaving the assessment stale relative to actual processing

Determining necessary and proportionate mitigation measures requires privacy expertise that product teams drafting their own DPIAs typically lack, resulting in superficial assessments that would not withstand regulator scrutiny

The agent screens new product and feature requirements against DPIA trigger criteria under GDPR Article 35 and applicable local guidance, and automatically initiates an assessment when triggers like large-scale monitoring, profiling, or special category data processing are detected. It generates a structured draft DPIA covering processing description, necessity and proportionality analysis, and risk identification, and recommends mitigation measures based on the specific risk factors present. Assessments are version-tracked against the evolving feature and re-triggered for review when material changes to the processing occur.

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Trigger Screening

  • Ingest new product or feature requirements from product intake process
  • Screen against GDPR Article 35 and local DPIA trigger criteria
  • Identify specific risk factors present (profiling, special category data, large-scale processing)
  • Flag features requiring a DPIA before launch
Outcome: Every feature requiring a DPIA is identified before development is complete, not after launch.
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Draft Assessment Generation

  • Draft processing description and data flow summary
  • Conduct necessity and proportionality analysis
  • Identify and score risks to data subjects
  • Recommend mitigation measures matched to identified risks
Outcome: A structured, substantive draft DPIA ready for privacy team review rather than a blank template.
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Review and Sign-off

  • Route draft to privacy officer or DPO for review
  • Incorporate mitigation measures into product requirements before launch
  • Escalate residual high risk to supervisory authority consultation where required
  • Track sign-off and launch readiness status
Outcome: A DPO-reviewed DPIA with agreed mitigation measures is completed before the feature launches.
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Lifecycle Monitoring

  • Track feature changes against the original DPIA scope
  • Re-trigger assessment review when processing materially changes
  • Maintain a portfolio-wide DPIA register for audit purposes
  • Generate regulator-ready DPIA summaries on request
Outcome: DPIAs remain current across the feature's lifecycle and the full portfolio is audit-ready at any time.
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