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Designed an AI-driven prediction service that analyzes historical legal cases and user-provided case details to estimate potential outcomes. The system combines structured case data with LLM-generated insights to produce prediction scores and supporting explanations, helping users evaluate their cases before initiating legal proceedings.
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