A candidate-scoring head returns distributions for gates, routes and scores without decoding prose or JSON answers. The README compares a benchmark-trained AgentJev specialist with Jev 1.13.0 evaluated zero-shot; these use different training conditions.
LegalForecastBench: LegalForecast-MTD benchmark alpha and official
johnhughes3/LegalForecastBench
ResearchCode reference
LegalForecastBench: LegalForecast-MTD benchmark alpha and official evaluation workflows. Explore the Jev references, Python source code and similar projects.
Repository description: LegalForecast-MTD benchmark alpha and official evaluation workflows
What you can build with it
Get started
Clone the repository and follow its README for install and usage. JevHunt has not run this project.
git clone https://github.com/johnhughes3/LegalForecastBench.gitProject facts
- Relationship to Jev
- Research
- Evidence
- Code reference
- Language
- Python
- License
- Apache-2.0
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-05-18
- Last code update
- 2026-09-24
- GitHub stars
- 7
- Evidence checked
- Sep 28, 2026
- Metadata checked
- Sep 28, 2026
- Check status
- Up to date
Stars measure the whole repository, including work unrelated to Jev.
Evidence and scope
Code reference records the linked documentation or source. JevHunt has not independently run or benchmarked this project.
if (request.model !== "typesafe-ai/jev") { throw new Error("This adapter only evaluates typesafe-ai/jev"); } try {
Evidence commit: 1efb8eb3720736b4ba91ee1b1455f4b3caded38a
Discovered through: awesome-jev.
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