Harvey AI Hits 25,000 Custom Workflows as Legal Tech Automation Surges

Legal AI startup Harvey has crossed 25,000 custom workflows built by its law firm and in-house legal clients, signaling accelerating adoption of agentic AI tools in a traditionally tech-resistant industry.

The milestone, announced February 10, comes as the broader workflow automation market pushes toward an estimated $26 billion in 2026, with projections reaching $92.8 billion by 2030 according to recent industry analysis.

Real Time Savings, Not Just Promises

Harvey's case studies put actual numbers behind the hype. German law firm GSK Stockmann reports cutting due diligence review time by 75% when applying custom workflows to unstructured data rooms. Romanian firm Filip & Company claims lawyers save five hours weekly on routine litigation tasks.

King & Wood Mallesons, one of Asia-Pacific's largest firms, has built firm-specific workflows for fact-finding, chronology building, and affidavit preparation—the kind of grunt work that traditionally falls to junior associates billing $400+ per hour.

These aren't simple document templates. Harvey's workflows run on AI agents executing multi-step processes that can be trained on a firm's own templates, past work examples, and internal guidelines. Think of it as cloning your best associate's approach to a task, then letting software replicate it at scale.

Why This Matters Beyond Legal

The legal sector's embrace of workflow automation reflects a broader shift happening across enterprise software. Industry observers note that AI workflow tools are transitioning from task-based assistance to autonomous orchestration—systems that can execute complete processes without constant human oversight.

Harvey's "Words to Workflows" feature lets users describe what they want in plain language, then generates the underlying automation. An "Improve Workflows" tool allows refinement over time based on results. This low-code approach mirrors what's driving adoption across platforms like Zapier, Make, and Workato in other industries.

For law firms specifically, the appeal is obvious. Legal work involves massive amounts of repetitive pattern-matching: reviewing contracts for specific clauses, checking regulatory compliance, extracting key dates from discovery documents. Tasks that once required armies of paralegals can now run overnight.

What's Next

Harvey outlined several planned features: better workflow discovery so users can find relevant automations built by colleagues, natural language editing for existing workflows, and enhanced analytics connecting usage to business outcomes.

That last point matters most for enterprise buyers. Law firm partners and general counsel care less about cool technology than about demonstrable ROI. If Harvey can prove that 25,000 workflows translate into X million dollars of efficiency gains, the next 25,000 will come faster.

The company is taking demo requests, suggesting they're still in growth mode rather than capacity-constrained. For legal teams still manually processing documents in 2026, the question isn't whether to adopt workflow automation—it's how quickly competitors already have.