Skip to content

Jev directory

Clause Classification with Jev

Python project that measures how much CUAD license-agreement text Jev can bin before an expensive model reads it, reporting bin rates, lost lawyer-marked provisions, and estimated cost savings against a Claude Sonnet baseline.
Stars
0
Reading time
2 min
Published by
Community
Added
Nov 2026

Highlights

  • Bins 77.3% of Clauses at the 0.5 cutoff across 53 CUAD license agreements and 3,246 Clauses.
  • Loses 44 of 429 lawyer-marked provisions (10.3%) inside those binned Clauses.
  • Estimates about $24 of $26.45 saved (91.4%) versus Claude Sonnet 5.5 at list prices.
  • Real run used jev-1.14.0: 3,246 fan-out calls, 22,722 Pairs, 179 s, $0.085 as Jev reported.
  • CUAD is not bundled; point CUAD_DIR at CUAD_v1 and run the CLI with uv.

Questions about this entry

Short answers drawn from the linked project or page.

From the Jev guides

Original write-ups on what this entry is for.

From the Jev AI model community

Posts from builders shipping with Jev right now.

Follow @typesafeai