Fine-tuned BERTimbau-LoRA achieves 87.6% accuracy and 0.87 macro-F1 on LegalBench-BR, outperforming commercial LLMs by 22-28 points and eliminating their systematic bias toward civil law on Brazilian legal classification.
LeNER-BR: A Dataset for Named Entity Recognition in Brazilian Legal Text
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LegalBench-BR: A Benchmark for Evaluating Large Language Models on Brazilian Legal Decision Classification
Fine-tuned BERTimbau-LoRA achieves 87.6% accuracy and 0.87 macro-F1 on LegalBench-BR, outperforming commercial LLMs by 22-28 points and eliminating their systematic bias toward civil law on Brazilian legal classification.