Legal document and clause classification with decision models

Zero-shot run of Jev 1.13 on all seven LexGLUE legal tasks (23,607 examples) versus GPT-5.6 Luna, open models and fine-tuned BERT.

FGV Direito SP experiment comparing Jev with Gemini 3.8 Flash and GPT-5.6 Luna for annotating 12 variables in 120 TJSP court rulings.

Spanish compliance triage: clauses extracted deterministically, then Jev labels each obligation, risk or no action.

Grounded extraction where code proposes spans with exact offsets and Jev only classifies each one; a LangExtract alternative.

Benchmark asking models to forecast federal motion-to-dismiss rulings from the judge's record, scored with claim-defendant Brier metrics.

Paper introducing an encoder-only System One model for Chinese with domain fine-tunes and the CJ-Bench benchmark.

X article by @juanmacias testing Jev on a legal corpus, listed as the 9th independent evaluation.

Vals AI's independent benchmark of Jev: matched a frontier model on claim verification at a fraction of cost, but ranked last on LegalBench.