Governance Advisory
Design governance strategies, operating models, approval workflows, and stakeholder alignment programs that help legal teams operationalize AI responsibly across research, drafting, review, and internal knowledge workflows.
Help your legal team move from AI pilots to governed, production-ready use with real-time controls, auditability, and policy enforcement. Trussed AI supports law firms and in-house legal departments that need defensible oversight for copilots, agents, document workflows, and sensitive client data without slowing adoption.
Governance, control, and assurance solutions for legal AI deployments and regulated workflows.
Design governance strategies, operating models, approval workflows, and stakeholder alignment programs that help legal teams operationalize AI responsibly across research, drafting, review, and internal knowledge workflows.
Deploy centralized runtime governance for AI apps, agents, and developer tools with policy enforcement, audit logging, traceability, and regulatory alignment built into day-to-day legal operations.
Control agentic AI actions before tool calls, data access, and workflow triggers so legal teams can set enforceable boundaries around autonomous research, drafting, and matter support.
Generate continuous audit evidence for every governed AI interaction, including policy results, model versions, timestamps, and data lineage to support internal reviews and external examinations.
Track AI spend across teams, matters, models, and workflows with real-time visibility, budget controls, and usage attribution that helps legal operations connect cost to business value.
Connect governance controls into existing AI stacks, cloud environments, and enterprise systems through flexible deployment options, APIs, and SDKs that minimize disruption to legal workflows.
Trussed AI helps legal departments and law firms govern AI where risk actually happens: at execution time. Instead of relying on static policies or after-the-fact reviews, the platform applies controls in real time across copilots, agents, and document workflows. That means stronger oversight for confidential data, clearer audit trails for internal review, and faster adoption of AI systems that must stand up to regulatory, client, and partner scrutiny.
See how governed AI helps regulated organizations deploy faster with stronger oversight and audit readiness.
Built for organizations that need AI governance to be enforceable, measurable, and production-ready.
Policies are enforced during every AI interaction, not after legal risk has already occurred.
Complete traces, logs, and lineage support defensible review for legal, compliance, and internal audit teams.
Managed and self-managed options fit law firm security requirements and enterprise legal IT environments.
SOC 2 Type II and ISO 27001-backed controls support legal teams handling sensitive regulated information.
Experienced founders building governed enterprise AI infrastructure.
Co-Founder
Ajay Dankar is Co-Founder of Trussed AI and brings nearly three decades of cloud product and engineering leadership to enterprise AI governance. His background includes senior roles at Google Cloud, AWS, Adobe, and PayPal/eBay, where he worked on scaling, reliability, and cost optimization for complex production systems. At AWS, he led product management for Elastic Load Balancing, helping drive broad adoption and operational savings. He also founded Finsphere, later acquired by Visa, where he helped pioneer fraud detection using mobile location data. At Trussed AI, Ajay focuses on helping enterprises deploy generative and agentic AI with the controls, resilience, and governance needed for production use in regulated environments, including organizations with strict legal and compliance obligations.
Co-Founder
Branden McIntyre is Co-Founder of Trussed AI and focuses on infrastructure that helps enterprises deploy AI reliably at scale. Across product roles at Rakuten, Cisco, JustAnswer, and Oracle, he saw the same challenge repeatedly: organizations could experiment with AI, but struggled to move systems into production safely and consistently. His work leading AI prediction initiatives improved customer experience and platform efficiency while exposing the operational gaps between prototypes and governed deployment. At Trussed AI, Branden applies that experience to building practical controls for runtime governance, visibility, and operational assurance. His perspective is especially relevant for legal departments and law firms that need AI systems to be dependable, reviewable, and aligned with internal standards before they are trusted in sensitive workflows.
Co-Founder
Sunita Reddy is Co-Founder of Trussed AI, where she leads AI, operations, and partner strategy for enterprise adoption of generative and agentic AI. With more than two decades of experience across product, AI, and design, she specializes in turning emerging technologies into scalable, enterprise-ready solutions. Her background includes leadership roles at JustAnswer, Microsoft, and Accellion, where she worked on AI products, collaboration systems, and strategic partnerships. She has built copilots, conversational interfaces, and human-in-the-loop AI workflows designed to improve accuracy and business outcomes. At Trussed AI, Sunita helps shape governance approaches that make AI usable in high-stakes environments, including legal operations where confidentiality, reviewability, and controlled adoption are essential to long-term success.
AI governance for legal teams is the framework of policies, controls, approvals, monitoring, and audit evidence used to manage how AI tools are deployed and used. It helps firms and in-house departments control access to sensitive data, enforce acceptable use rules, document decisions, and maintain oversight across copilots, agents, and legal workflows in production.
Talk with our team about controls, deployment options, and audit readiness.
Validated controls for secure operations.
Recognized information security certification.
Continuous evidence for regulated AI.
Share your legal AI use cases, governance goals, and deployment requirements. Our team will help you evaluate the right controls, architecture, and rollout approach.
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To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.