The first jobs agents measurably took over are the ones billed at $2,000 an hour. hebbia's…
the first jobs agents measurably took over are the ones billed at $2,000 an hour. hebbia's multi-agent research cuts law firms' credit agreement review time by 75% and saves private equity teams 20-30 hours per deal.
the white-collar reshuffle starts where the hourlies are highest.
Context
OpenAI's March 20, 2025 customer story on Hebbia lists the results it attributes to Hebbia's multi-agent system: private equity firms save 20 to 30 hours per deal on screening, due diligence and expert network research, investment bankers save 30 to 40 hours per deal, and law firms reduce credit agreement review time by 75%, saving $2,000 per hour in legal fees.
A Hebbia customer page on Ice Miller describes an associate who uploaded a 30-gigabyte file of agreements and says work that would have taken thirty hours was cut substantially.
The 75%, the 20 to 30 hours and the $2,000 per hour match the OpenAI page. They are vendor-reported results in a customer story published in March 2025, so they are not new measurements and they come from the company that sells the product.
The note says $2,000 an hour is what the jobs are billed at. The source says the 75% reduction saves $2,000 per hour in legal fees, and does not give the billing rate of the work or a method for the measurement. The note's 'first jobs agents measurably took over' is the author's claim: the sources report no independent measurement and no ranking of jobs.
The source is from March 2025, so the note's present-tense framing may reuse older figures. Whether newer figures exist was not checked here.
Related work
- Hebbia's deep research automates 90% of finance and legal work (OpenAI, March 20, 2025) ↗Primary source for the 75%, the 20 to 30 hours per deal and the $2,000 per hour figures.
- Ice Miller Puts Hebbia to Work Across the Firm (Hebbia) ↗Customer page for a law firm using the product.
Watch next
- Look for an independent study of legal review time with agents. Check Hebbia's more recent customer figures.
Sources
Provenance
The note above is reproduced unedited from the original post, first published on Threads on 9 October 2026 at 01:42 IST. Sources are the papers and datasets the note draws on.
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