AI

At Privatus Legal Group PLLC, we help organizations navigate the rapidly evolving legal landscape surrounding artificial intelligence, machine learning, and automated systems.

    • AI regulatory compliance

    • EU AI Act requirements

    • State AI legislation

    • EEOC AI guidance

    • FTC AI requirements

    • FDA AI frameworks

    • SEC AI guidelines

    • NIST AI standards

    • Industry standards

    • AI risk assessment frameworks

    • Model governance programs

    • Algorithmic impact assessments

    • Bias testing protocols

    • AI documentation requirements

    • Ethics and responsible AI guidelines

    • AI incident response planning

    • AI development agreements

    • Model training data rights

    • Data licensing structures

    • AI software contracts

    • API licensing agreements

    • Cloud service provider terms

    • Open source AI compliance

    • IP protection strategies

    • Training data privacy compliance

    • Data minimization strategies

    • AI-specific privacy notices

    • Automated decision-making rules

    • Individual rights management

    • Cross-border data considerations

    • Synthetic data compliance

    • Privacy-preserving AI techniques

  • We help identify and mitigate AI-specific risks:

    • Model bias and fairness

    • AI system reliability

    • Algorithm transparency

    • Data quality issues

    • Security vulnerabilities

    • Intellectual property

    • Third-party liability

    • Regulatory enforcement

Our Approach

We provide practical guidance by:

  • Understanding AI technologies

  • Assessing regulatory impact

  • Evaluating risk profiles

  • Developing compliance frameworks

  • Creating governance structures

  • Supporting implementation

  • Maintaining documentation

Industry-Specific Privacy Solutions

    • AI product compliance

    • Model development frameworks

    • API terms and conditions

    • Technical documentation

    • User agreement drafting

    • Risk mitigation strategies

    • Open source licensing

    • IP portfolio management

    • AI governance frameworks

    • Model risk management

    • Algorithm auditing

    • Fair lending compliance

    • Trading system requirements

    • Anti-fraud AI systems

    • Credit scoring compliance

    • Regulatory reporting

    • AI medical device compliance

    • Clinical decision support

    • Research data governance

    • Patient data protection

    • FDA AI/ML requirements

    • Diagnostic tool compliance

    • Clinical trial applications

    • Healthcare AI validation

    • AI procurement compliance

    • Classification requirements

    • Export control compliance

    • National security review

    • Government use rights

    • Technical data rights

    • NIST AI framework

    • FedRAMP compliance