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Reading: Harvey AI Hits 25,000 Customized Workflows as Authorized Tech Automation Surges
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Harvey AI Hits 25,000 Customized Workflows as Authorized Tech Automation Surges

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Last updated: February 12, 2026 5:12 am
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Published: February 12, 2026
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Harvey AI Hits 25,000 Customized Workflows as Authorized Tech Automation Surges


Contents
  • Actual Time Financial savings, Not Simply Guarantees
  • Why This Issues Past Authorized
  • What’s Subsequent


James Ding
Feb 12, 2026 05:14

Authorized AI platform Harvey stories 25,000+ customized workflows created by legislation companies, with customers reporting as much as 75% time financial savings on due diligence evaluations.





Authorized AI startup Harvey has crossed 25,000 customized workflows constructed by its legislation agency and in-house authorized shoppers, signaling accelerating adoption of agentic AI instruments in a historically tech-resistant business.

The milestone, introduced February 10, comes because the broader workflow automation market pushes towards an estimated $26 billion in 2026, with projections reaching $92.8 billion by 2030 in keeping with latest business evaluation.

Actual Time Financial savings, Not Simply Guarantees

Harvey’s case research put precise numbers behind the hype. German legislation agency GSK Stockmann stories chopping due diligence assessment time by 75% when making use of customized workflows to unstructured knowledge rooms. Romanian agency Filip & Firm claims attorneys save 5 hours weekly on routine litigation duties.

King & Wooden Mallesons, certainly one of Asia-Pacific’s largest companies, has constructed firm-specific workflows for fact-finding, chronology constructing, and affidavit preparation—the type of grunt work that historically falls to junior associates billing $400+ per hour.

These aren’t easy doc templates. Harvey’s workflows run on AI brokers executing multi-step processes that may be educated on a agency’s personal templates, previous work examples, and inner pointers. Consider it as cloning your finest affiliate’s strategy to a activity, then letting software program replicate it at scale.

Why This Issues Past Authorized

The authorized sector’s embrace of workflow automation displays a broader shift taking place throughout enterprise software program. Business observers observe that AI workflow instruments are transitioning from task-based help to autonomous orchestration—techniques that may execute full processes with out fixed human oversight.

Harvey’s “Phrases to Workflows” function lets customers describe what they need in plain language, then generates the underlying automation. An “Enhance Workflows” device permits refinement over time primarily based on outcomes. This low-code strategy mirrors what’s driving adoption throughout platforms like Zapier, Make, and Workato in different industries.

For legislation companies particularly, the enchantment is clear. Authorized work entails large quantities of repetitive pattern-matching: reviewing contracts for particular clauses, checking regulatory compliance, extracting key dates from discovery paperwork. Duties that after required armies of paralegals can now run in a single day.

What’s Subsequent

Harvey outlined a number of deliberate options: higher workflow discovery so customers can discover related automations constructed by colleagues, pure language enhancing for current workflows, and enhanced analytics connecting utilization to enterprise outcomes.

That final level issues most for enterprise consumers. Legislation agency companions and normal counsel care much less about cool expertise than about demonstrable ROI. If Harvey can show that 25,000 workflows translate into X million {dollars} of effectivity good points, the following 25,000 will come sooner.

The corporate is taking demo requests, suggesting they’re nonetheless in progress mode slightly than capacity-constrained. For authorized groups nonetheless manually processing paperwork in 2026, the query is not whether or not to undertake workflow automation—it is how shortly opponents have already got.

Picture supply: Shutterstock


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