Building Trust in AI-Powered Legal Workflows with Harvey AI
Introduction
Harvey AI is helping legal teams transform how they work with AI. In this conversation, Curtis Salinas, who leads Business Technology at Harvey AI, shares how his team is building confidence in AI through trusted context, thoughtful governance, and hands-on experimentation. His perspective offers a practical look at how organizations can adopt AI responsibly while giving people more time to focus on complex, high-value work.
Key Takeaways
For legal teams, AI adoption must be grounded in confidence, transparency, and a clear understanding of risk. Building that trust is what enables teams to move from cautious exploration to meaningful use.
When AI can understand a company’s people, policies, knowledge, and workflows, it can deliver answers and recommendations that are more relevant to the work at hand—not just generic responses.
Because legal helps define how an organization manages risk, it is uniquely positioned to model responsible AI adoption and help the broader business embrace new ways of working.
AI adoption works best when legal, IT, security, and business teams work together. Rather than acting as a barrier to innovation, technology and risk teams can create the guardrails that help the organization move forward with confidence.
Usage is an important starting signal, but the bigger opportunity is reducing repetitive tasks so people can spend more time on judgment, creativity, and the work where their expertise matters most.
As AI agents take on more steps in a workflow, organizations can expand autonomy gradually while preserving human oversight, accountability, and trust.
