Where Experts Disagree, Models Fail: Detecting Implicit Legal Citations in French Court Decisions
📰 ArXiv cs.AI
Detecting implicit legal citations in French court decisions is challenging due to disagreements among experts, making it difficult for models to achieve high accuracy
Action Steps
- Annotate a large dataset of passage-article pairs with multiple legal experts to capture disagreements
- Develop models that can handle ambiguity and uncertainty in legal citations
- Evaluate models using metrics that account for expert disagreements and uncertainties
- Refine models through iterative feedback from legal experts and data scientists
Who Needs to Know This
Legal experts, AI engineers, and data scientists on a team can benefit from understanding the limitations of models in detecting implicit legal citations, as it highlights the need for high-quality annotations and expert validation
Key Insight
💡 Expert disagreements can significantly impact the accuracy of models in detecting implicit legal citations
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💡 Models struggle to detect implicit legal citations in French court decisions due to expert disagreements #AI #law
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