legal-element-extraction

The skill extracts structured legal facts from unstructured case narratives by segmenting raw text into nine defined fact categories, including subject, action, and causation facts. It then tags evidence sources and translates everyday language into neutral legal terminology.

Yes, the skill processes unstructured texts like chat logs, media reports, and party statements for contract, tort, and other civil disputes. It classifies the extracted information into nine categories and maps it to potential legal elements.

The taxonomy used for legal element extraction comprises nine categories: subject, action, time, location, object, result, causation, subjective, and procedural facts. This classification enables objective fact extraction and timeline construction.

Yes, during fact extraction, the skill translates everyday language into neutral legal language. It cleans and classifies raw narrative text while preparing evidence sources to satisfy objective fact extraction requirements.

You map extracted case facts to potential legal elements by leveraging the skill's nine-category structured output and timeline construction features. This explicitly connects classified facts to support subsequent legal reasoning and claim bases.