Legal-NLP-EkStep/judgment_extractive_summarizer
OpenNyAI is a mission aimed at developing open source software and datasets to catalyze the creation of AI-powered solutions to improve access to justice in India. Jugment Extractive Summarizer is one the AI component developed under this mission
This project helps legal professionals, like publishers or law researchers, create structured summaries (headnotes) of Indian court judgments faster and more consistently. You input a full court judgment document, and it outputs a five-section extractive summary covering facts, arguments, issues, analysis, and decision. This is ideal for anyone who regularly needs to distill lengthy legal texts into concise, organized summaries for legal research or publication.
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Use this if you need to train your own AI model for automatically generating structured, extractive summaries of Indian court judgments, tailored to specific rhetorical roles within the text.
Not ideal if you simply want to use a pre-trained model to summarize your own legal documents without any custom training; in that case, look for the 'opennyai library' instead.
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Language
Python
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MIT
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Last pushed
Nov 22, 2023
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