We develop and implement privacy programs that address the full spectrum of US and European data protection requirements. Our team holds both CIPP/US and CIPP/E certifications, providing authoritative guidance on GDPR, CCPA/CPRA, and emerging state and international privacy regulations.
Our privacy practice is informed by direct experience building data-intensive technology products, including technology diligence platforms and large-scale document collections for responsible AI training. We understand privacy not just as a compliance exercise, but as a technical and operational discipline.
Certified Privacy Expertise
Our team holds both CIPP/US and CIPP/E certifications from the International Association of Privacy Professionals (IAPP), combined with CPA and Certified AI Auditor credentials. This provides a uniquely comprehensive perspective spanning privacy, financial compliance, and AI data governance.
What We Offer
Privacy Program Development
End-to-end design and implementation of organizational privacy programs.
GDPR Compliance
Assessment, gap analysis, and remediation for EU data protection requirements.
CCPA/CPRA Compliance
California privacy law compliance, including consumer rights workflows.
Data Protection Impact Assessments
Systematic assessment of processing activities and privacy risks.
Data Licensing and Rights Management
Frameworks for data licensing, consent, and intellectual property.
Privacy by Design Implementation
Embedding privacy controls into product and system architecture.
Privacy in Practice
Our privacy practice is grounded in operational experience building data-intensive products and navigating real-world compliance challenges.
Data Licensing & Rights Management
We help organizations establish clear data licensing frameworks and rights management practices, drawing on direct experience building data valuation and diligence technology. Our open-source Responsible Data Science Policy Framework provides modular, regulation-ready building blocks for GDPR, CCPA, and SOC 2 compliance.
Data Provenance for AI
Published guidance on how data provenance drives ML risk and value — covering data quality, contractual obligations, and regulatory compliance requirements for AI training data.
Copyright & AI Training Data
We advise on copyright and open-license compliance for AI training data, including attribution requirements, share-alike obligations, and fair-use analysis across major data sources and licensing regimes.
Large-Scale Data Governance
We have built privacy and IP governance into large-scale data infrastructure from the ground up, including copyright verification workflows across production-scale document collections for AI training.
Frequently Asked Questions
- What privacy regulations do you cover?
- We provide guidance on the full spectrum of US and international privacy regulations, including GDPR, CCPA/CPRA, state-level privacy laws (Virginia, Colorado, Connecticut, etc.), HIPAA, FERPA, and emerging international frameworks. Our CIPP/US and CIPP/E certifications ensure authoritative coverage of both US and European regimes.
- How does your privacy practice differ from large consulting firms?
- Our privacy practice is informed by direct experience building and operating data-intensive technology products — including technology diligence and valuation platforms and large-scale AI data pipelines. This operational experience means we understand privacy as a technical and business discipline, not just a legal compliance exercise.
- Do you offer data licensing and rights management services?
- Yes. We have deep expertise in data licensing frameworks, consent management, and intellectual property rights in the context of AI and data-intensive applications. We help organizations establish clear rights frameworks for data they collect, use, and share.
- How do privacy engagements typically begin?
- We start with a complimentary consultation to understand your organization's data practices, regulatory environment, and privacy maturity. From there, we typically recommend either a privacy program assessment or a focused compliance project, depending on your needs and regulatory priorities.
Related Services
Related Insights
An exploration of data provenance — the origin and history of data — and why it is a board-level concern for AI risk management, legal compliance, and responsible governance.
Pioneering Responsible Data Science: A Framework for Ethical InnovationIntroducing an open-source Responsible Data Science Policy Framework designed to help organizations address ethical AI governance through a modular, adaptable approach.
The KL3M Data Project: Building Copyright-Clean Training Data at ScaleInside the KL3M Data Project — assembling 132M+ copyright-clean documents to enable responsible LLM training and earning the first 'Fairly Trained' certification.