AI Governance
As artificial intelligence reshapes every industry, the legal and ethical frameworks governing AI systems are still being written. TAPLAW helps organizations navigate this frontier — designing governance structures, managing regulatory risk, and building responsible AI programs.
AI Policy & Governance Frameworks
We design enterprise AI governance programs that address model risk, algorithmic accountability, transparency obligations, and human oversight requirements — aligned with the EU AI Act, NIST AI RMF, and emerging US federal and state frameworks.
Regulatory Compliance & Risk Assessment
AI regulation is accelerating globally. We assess your AI systems against applicable regulatory requirements, identify compliance gaps, and develop remediation roadmaps that reduce legal exposure without stifling innovation.
Agentic AI & Autonomous Systems
Autonomous AI agents that take actions in the world raise novel legal questions around liability, authorization, and accountability. We provide legal frameworks for deploying agentic AI responsibly — including human-in-the-loop requirements and audit trail design.
AI Ethics & Bias Audits
Algorithmic bias and discriminatory outputs create significant legal and reputational risk. We counsel organizations on AI ethics review processes, bias testing methodologies, and explainability requirements under emerging law.
AI Contracts & Vendor Agreements
Procuring or licensing AI systems requires careful contractual protections. We draft and negotiate AI vendor agreements, model licensing terms, data use provisions, and indemnification structures that protect your organization.
AI Incident Response
When an AI system causes harm — a biased decision, a data breach, an autonomous action gone wrong — you need a response plan. We help organizations prepare AI incident response protocols and manage legal exposure when incidents occur.
Areas We Cover
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