Tech Implementation
Turning Legal Requirements Into Actionable Controls
We turn complex legal obligations and business objectives into actionable technical controls your teams can implement with confidence.
Closing the Gap
Implementing the correct technical configurations is critical to any data privacy or AI program. Yet, legal teams often struggle to translate requirements into clear technical terms that marketing and product teams can easily understand and apply. This may result in confusion, implementation challenges, and unintended overcompliance, creating an increased risk of financial loss, regulatory scrutiny, and class action lawsuits.
The Translation Layer
We turn complex legal requirements into clear, actionable controls that legal, marketing, and engineering teams can execute. Our approach helps organizations operationalize privacy and AI laws and business objectives while staying aligned as legal, technical, and industry standards evolve.
Operational Controls
Advanced Data Handling
- AdTech and video technology configurations
- Data disclosure configurations
- First-party and third-party data uses
User Consent & Rights
- Navigating dark patterns and manipulative UX design
- Consent management platform and opt-out configurations
- Processing and responding to DSRs
Data Privacy & AI Fundamentals
- Data privacy checklist for apps and websites
- Data mapping and tagging taxonomy
- Guidelines for building out AI systems
Onboarding Technologies
- Identity resolution and graphing
- Foundation AI models
- Alternative identifiers (deterministic and probabilistic)
- Privacy Enhancing Technologies (PETs)
- SDKs and APIs
Licensed, connected, and knowledgeable.
Our attorneys, licensed to practice law in New York, Washington, DC, and Maryland, possess deep knowledge in AI and data privacy. When required, the firm efficiently mobilizes its network of US and global AI and data privacy professionals to engage local counsel.
Get in touch with DBR Tech Law
Partner with a boutique team blending legal excellence and technology-driven insight.