LegalRikai: Open Benchmark -- Benchmark for Complex Japanese Corporate Legal Tasks

Shogo Fujita, Yuji Naraki, Yiqing Zhu, Shinsuke Mori
12/12/2025
cs.CL

No confident code implementation found for this paper.

Abstract

This paper introduces LegalRikai: Open Benchmark, a new benchmark comprising four complex tasks that emulate Japanese corporate legal practices. The benchmark was created by legal professionals under the supervision of an attorney. This benchmark has 100 samples that require long-form, structured outputs, and we evaluated them against multiple practical criteria. We conducted both human and automated evaluations using leading LLMs, including GPT-5, Gemini 2.5 Pro, and Claude Opus 4.1. Our human evaluation revealed that abstract instructions prompted unnecessary modifications, highlighting model weaknesses in document-level editing that were missed by conventional short-text tasks. Furthermore, our analysis reveals that automated evaluation aligns well with human judgment on criteria with clear linguistic grounding, and assessing structural consistency remains a challenge. The result demonstrates the utility of automated evaluation as a screening tool when expert availability is limited. We propose a dataset evaluation framework to promote more practice-oriented research in the legal domain.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{fujita2025legalrikai,
  title  = {LegalRikai: Open Benchmark -- Benchmark for Complex Japanese Corporate Legal Tasks},
  author = {Shogo Fujita and Yuji Naraki and Yiqing Zhu and Shinsuke Mori},
  year   = {2025},
  eprint = {2512.11297},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2512.11297v2}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2512.11297.svg)](https://codeofpaper.com/paper/2512.11297)

Discussion