Annotated Legal Dataset
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An Annotated Legal Dataset is a legal dataset that is annotated data.
- Context:
- It can (typically) include expert annotations that identify key clauses and elements within legal documents such as contracts and court cases.
- It can (often) be used to train machine learning models for tasks like contract review and legal document classification.
- It can improve the efficiency and accuracy of legal analysis by highlighting relevant portions of text for human review.
- It can be created through a process involving legal experts who label the documents with specific tags relevant to legal tasks.
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- Example(s):
- a CUAD (Contract Understanding Atticus Dataset) that showcases annotated legal data for contract review, including labels for clauses like governing law and renewal terms.
- a MAUD (Merger Agreement Understanding Dataset) that demonstrates annotated legal data for merger agreement analysis, covering deal points like conditions to closing and material adverse effects.
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- Counter-Example(s):
- Unannotated Legal Data, which lacks the expert annotations and is less useful for training machine learning models for specific legal tasks.
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- See: Annotated Medical Data.