UA-Legal-Bench: A Benchmark for Evaluating Large Language Models on Ukrainian Legal Reasoning
arXiv:2605.29170v1 Announce Type: cross Abstract: Legal NLP benchmarks are overwhelmingly English-centric, leaving failure modes in morphologically rich, non-Latin-script languages undetected. We introduce UA-Legal-Bench, a five-task benchmark for evaluating large language models on Ukrainian legal reasoning, built from the Unified State Register of Court Decisions (EDRSR) -- one of the world's largest open judicial corpora (99.5 million decisions). The benchmark comprises: (1) case-type classification (4 classes, n=2,000), (2) judgment form classification (4 classes, n=2,000), (3) case-outcom
The proliferation of Large Language Models (LLMs) and geopolitical shifts have highlighted the critical need for diverse language datasets and benchmarks beyond English, particularly in legal domains, for robust and equitable AI development.
This benchmark addresses a significant gap in AI evaluation, enabling the development of more effective and reliable LLMs for non-English, morphologically rich languages like Ukrainian, which is crucial for legal accuracy and sovereign AI capabilities.
The introduction of UA-Legal-Bench provides a standardized tool for assessing LLM performance in Ukrainian legal reasoning, accelerating the development of specialized AI for non-English legal systems and potentially reducing dependency on English-centric models.
- · Ukrainian legal tech sector
- · Developers of multilingual LLMs
- · Ukrainian government and judiciary
- · Academic researchers in NLP
- · Monolingual English-centric LLM providers
- · Legal tech companies relying solely on English data
Improved accuracy and reliability of AI tools in Ukrainian legal contexts, leading to more efficient legal processes.
Increased demand for linguistically diverse legal datasets and benchmarks, fostering a more globalized and inclusive AI research landscape.
Enhanced trust in AI for critical national functions, potentially accelerating the adoption of sovereign AI initiatives in non-Western nations for specialized applications.
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Read at arXiv cs.AI