ContextGem: Effortless LLM extraction from documents
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Updated
Aug 7, 2025 - Python
ContextGem: Effortless LLM extraction from documents
A fully-searchable and accessible archive of court data including growing repositories of opinions, oral arguments, judges, judicial financial records, and federal filings.
⚫ A spaCy pipeline and model for NLP on unstructured legal text.
Blackstone is a spaCy model and library for processing long-form, unstructured legal text. Here, we wrap Blackstone with a performant API layer written in Go.
Create a knowledge graph out of unstructed legal text - use said knowledge graph in a graph augmented retrieval augmented generation pipeline
🔍 A statutory article retrieval dataset in French. (ACL 2022)
Librairie python qui simplifie l'interrogation des contenus de legifrance
Knowledge Shaper. The editor to share your knowledge.
A Free Database of Legal Materials
A PoC for a location-aware legal assistant powered by GPT-4 and Gradio.
🕸️ A graph-augmented dense statute retriever. (EACL 2023)
A simple library for segmenting legal texts
This repo is about the classification of rhetorical roles in Legal Documents such as: Citation, Findings of Fact, Evidence, Legal Rule, Reasoning and other sentences. The used data is Based on BVA decisions and a prototype is provided
IAttorney is an intelligent legal assistant built using Flask, LangChain, FAISS, OpenAI, and a RAG (Retrieval-Augmented Generation) pipeline.
A simple GPT-3 interface to automate core legal writing tasks
🔗 Hybrid retrieval in the legal domain
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