Beyond generative AI for content creation, agentic AI offers immense value by automating tedious, error-prone governance tasks. AI agents can manage compliance, routing, and metadata tagging at scale, turning previously manual and costly work into an automated workflow.

Instead of competing with emerging legal tech AI startups like Harvey, DocuSign is positioning itself as the central agreement layer. It partners with these specialized tools for bi-directional data exchange, allowing them to access contracts stored in DocuSign and trigger workflows, thus solidifying its platform role in the ecosystem.

Contrary to the view that useful AI agents are a decade away, Andrew Ng asserts that agentic workflows are already solving complex business problems. He cites examples from his portfolio in tariff compliance and legal document processing that would be impossible without current agentic AI systems.

Beyond drafting documents, AI is highly effective at quality control tasks that humans often miss. Use it for proofreading, checking defined terms, and ensuring consistent formatting, which can catch subtle but important mistakes in complex agreements.

A significant portion of B2B contracts will soon be negotiated and executed by autonomous AI agents. This shift will create an entirely new class of disputes when agents err, necessitating automated, potentially on-chain, systems to resolve conflicts efficiently without human intervention.

Curative deployed an AI agent, Gwen, that handles the entire sales workflow for smaller provider contracts—from research and outreach to negotiation and signing. It took the company from signing 100 contracts a week with a full team to 100 per day, with the agent alone signing more contracts in 8 weeks than the team did in a year.

Unlike generative AI (like ChatGPT) which only provides text output, agentic AI can perform actions on your behalf. It can log into accounts, click buttons, and complete multi-step tasks, shifting AI from a smart consultant to an autonomous digital assistant.

Releasing AI-powered contract summaries for consumers was framed internally not as a feature, but as a moral question. The CEO felt it would be a "dereliction of duty" not to provide context, even with liability concerns, as it's better than consumers signing blindly.

AI agents could negotiate hyper-detailed contracts that account for every possible future eventuality, a theoretical concept currently impossible for humans. This would create a new standard for agreements by replacing legal default rules with bespoke, mutually-optimized terms.