IPR and Copyright

Advising on intellectual property rights related to AI-generated content, training data usage, and the patentability of AI inventions. This includes managing issues like copyright infringement by AI models and protecting proprietary algorithms.

Data Privacy and Governance

Ensuring AI systems comply with data protection regulations (e.g., GDPR, CCPA, DPDP Act). This involves auditing data collection practices, use of personal data for training, and managing the risks of data leakage or bias in AI outputs.

Ethical AI and Bias

Advocating for the responsible development and deployment of AI. This includes assessing and mitigating algorithmic bias, ensuring fairness, transparency, and accountability in AI decision-making processes.

Liability and Accountability

Determining legal liability when AI systems cause harm (e.g., in autonomous vehicles, medical diagnostics, or financial decisions). This requires understanding the legal framework for product liability, professional negligence, and strict liability as applied to AI.

Contract Drafting and Negotiation

Drafting and reviewing contracts for AI services, licensing agreements for AI technology, and terms of service that govern AI interactions and data usage.

Regulatory Compliance and Lobbying

Monitoring evolving AI regulations globally and advising clients on compliance. Engaging with policymakers to shape future AI legislation and standards, often advocating for a balanced approach that fosters innovation while ensuring public safety.

Litigation

Representing clients in disputes involving AI, which may include IP infringement cases, data breaches, or challenges to administrative decisions made by algorithmic systems.