Legal Rikai Open Benchmark: Japanese Corporate Legal Tasks for LLMs

Legal Rikai Open Benchmark evaluates large language models on complex Japanese corporate legal tasks. The dataset consists of four distinct tasks designed to emulate real-world workflows handled by legal departments, such as explaining legal amendments and revising documents. It was created by legalontech and last updated on December 15, 2025.

Use Cases

• Benchmarking LLM performance on long-form, structured legal text generation based on the description of document-level editing tasks.
• Evaluating model capabilities for explaining legal amendments, a specific task mentioned in the description.
• Testing AI systems on practical legal workflows, such as revising corporate documents, as described in the dataset summary.

Strengths

• Focuses on long-form, structured outputs and document-level editing, a distinctive feature mentioned in the description.
• Designed around four distinct tasks that emulate real-world legal department workflows.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

legalontech

Freshness

Last updated 2025-12-15 10:15:23; freshness should be verified.

Geography

Japan (inferred from focus on Japanese corporate legal tasks)