LexIssue - Legal Issue Generation (Knowledge-Base RAG): leaderboard
Metric: Weighted F1 (%; legal issue generation: free-form disputed-issue descriptions matched to the 1,303 reference issues; predicted issues are aligned to the expert reference issues by a two-stage Qwen-3.5-27B judge (semantic retrieval, then rubric-based equivalence verification); mean case-level weighted F1 over the 430 cases; retrieval-augmented setting: the top 5 entries of the authors' 441-entry legal issue knowledge base for the case's cause of action, reranked by Qwen3-Reranker-8B, are added to the prompt). Source: arxiv.org. Saturation forecast: Around April 2027. 8 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Flash | 71.5 |
| 2 | GPT-5.2 | 63.4 |
| 3 | DeepSeek V4 Flash | 62.8 |
| 4 | Qwen 3 8B | 49.5 |
Interactive version: theaggregate.ai/benchmark?slug=lexissue-legal-issue-generation-knowledge-base-rag · How It Works · Data refreshed daily, snapshot 2026-09-26.