The use case: how Eve deploys Braintrust
Eve, a legal AI company for plaintiff law firms, uses Braintrust to run evals on its legal agents against an expert-graded benchmark, with failures tagged by type. It also uses Braintrust to test new models, turn production mistakes into test cases, score production behavior, and let coding agents iterate on metrics through the CLI.
More reported results
Figures published in Braintrust’s case study. They are not independently measured by usedby.
At any given time he has around five agents running in parallel, reviewing their work as pull requests.
The benchmark is now the largest dataset of its kind, with over 400 plaintiff law tasks across 40+ states and a wide distribution across task types and failure modes.
In the customer’s words
I gave it a task: "Your task is to improve these metrics." It can create hypotheses, implement them, run experiments using the Braintrust CLI, see the results, and go for hours. When I came back, I had a report with the experiment outputs and the best approaches.Other AI tools used by Eve
Other public relationships recorded on usedby.
Explore Eve’s AI stack
Other companies using Braintrust
Customers across industries, with public evidence.
BoxConfirmed
BrowserbaseConfirmed
CloudflareConfirmed
CourseraConfirmed
DropboxConfirmedGo straight to the source
Based on Braintrust’s published case study. We check the public evidence; the results are reported by the vendor.
braintrust.dev- Last checked
- Oct 6, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: over 400Checked
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- The passage quoted aboveChecked
Copied word for word from the page, near the name of Eve.
- Eve uses BraintrustChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Because Braintrust automatically preserves all the context used to generate a given output, failures are reproducible by default.