Webinar Replay: Inside Harvey’s AI Agents & Shared Spaces
Why It Matters
Harvey’s agentic AI and Shared Spaces give legal teams a scalable path from manual workflows to autonomous automation, promising faster service delivery and lower operational costs while demanding new governance frameworks.
Key Takeaways
- •Harvey differentiates agentic AI from scripted workflow automation.
- •Shared Spaces enable cross‑team collaboration on legal tasks.
- •Densu democratized workflow builder to all 250 users.
- •Governance remains lightweight, focusing on peer review and analysis.
- •Agentic systems aim to infer intent and reduce manual prompts.
Summary
The webinar explored Harvey’s new AI agents and Shared Spaces, positioning them as the next evolution of legal‑tech automation. Panelists from Harvey, a legal‑engineer, and Densu’s global ops head discussed how the platform moves beyond simple chat‑based assistants toward agentic workflows that can infer intent and act autonomously.
A core insight was the distinction between scripted workflows—pre‑defined, predictable processes—and true agentic AI, which decides when to request data and can handle uncertain outcomes. Harvey now supports both models, with thousands of client‑deployed workflows and a growing suite of agentic capabilities. Densu’s experience illustrated rapid adoption: 250 Harvey seats, 29 live workflows, and a pipeline of 190, all built after a company‑wide decision to democratize the workflow builder.
Russell highlighted the practical rollout: lightweight governance, peer‑review naming conventions, and an internal “analysis” co‑pilot that monitors agent performance. Joe emphasized that while many tasks remain workflow‑driven, the platform’s architecture allows incremental steps toward full autonomy, especially for data‑heavy, repeatable legal processes.
The discussion signals that law firms and in‑house teams can now scale automation without heavyweight IT gatekeeping, but must still establish clear ownership and data‑governance as agentic AI expands. Early adopters like Densu are building the muscle memory needed to transition from experimental pilots to enterprise‑wide autonomous agents, potentially reshaping legal service delivery and cost structures.
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