Open Source Legal Software.

Open legal intelligence for Mexico. 30,000+ laws across federal, state, and municipal sources · 3.5M+ searchable articles · trilingual UI (Spanish · English · Classical Nahuatl) · first-party RAG chat · OpenAPI + SDKs · built so citizens, accountants, lawyers, and AI agents can navigate Mexican law as code.

Curated dataset and tools for tracking global AI legislation — US federal, state, and international frameworks.

An MCP (Model Context Protocol) server providing AI agents access to CourtListener's comprehensive legal database, featuring semantic search, hybrid search, citation verification, and research tools.

democratizes legal access by using AI to translate complex laws into actionable, court-ready defenses for anyone—regardless of income. It turns voice or text descriptions of personal legal issues into precise filings and strategies, bridging the gap between citizens and the justice system.

MCP server for NYC Charter, Administrative Code, and Rules of the City of New York

German Legal Sentences (GLS) is an automatically generated training dataset for semantic sentence matching in the domain in german legal documents. It follows the concept of weak supervision, where imperfect labels are generated using multiple heuristics. For this purpose we use a combination of legal citation matching and BM25 similarity. The contained sentences and their citations are parsed from real judicial decisions provided by [Open Legal Data](http://openlegaldata.io/)

Backend for the UK Civil Legal Advice service: case records, eligibility triage, call centre case management and legal category reference data.

TypeScript legal citation extraction library with zero dependencies. Extract, resolve, and annotate citations from court opinions. Supports case citations, statutes, journals, parallel linking, short-form resolution, and more. 7KB core bundle.

The open-source contract repository. Built-in clause extraction, playbook deviation analysis, and embedded e-signature via DocuSeal.

Open-source AI contract review & e-signature platform. Free alternative to DocuSign, Adobe Sign & PandaDoc. Draft, review, and sign legal contracts with AI-powered clause analysis.

Polish hub of legal-AI skills - 41 skills in 8 Claude Code / Cowork bundles (LLM output verification, PL/EU case law, DOCX redline, AI Act audit bundle). GDPR-safe, vendor-neutral, MIT.

MCP server for FOLIO, the Federated Open Legal Information Ontology

Develop a Romanian legal domain Large Language Model (LLM) using pre-trained model and fine-tuning on legal texts. The fine-tuned model is available on Hugging Face.

LegalSummarization An MTEB dataset Massive Text Embedding Benchmark The dataset consistes of 439 pairs of contracts and their summarizations from https://tldrlegal.com and https://tosdr.org/. Task category t2t Domains Legal, Written Reference https://github.com/lauramanor/legal_summarization How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/legal_summarization.

Dataset Card for Free-Law-Project/opinions-synthetic-query-512 This dataset is created from the opinions-metadata, and used for training the Free Law Project Semantic Search models, including Free-Law-Project/modernbert-embed-base_finetune_512. Dataset Details The dataset is curated by Free Law Project by selecting the train split from the opinions-metadata dataset. The dataset is created for finetuning encoder models for semantic search, with 512 context window.… See the full description on the dataset page: https://huggingface.co/datasets/freelawproject/opinions-synthetic-query-512.

OpenRouter for legal work: vendor-neutral, benchmark-grounded skills that route each legal task (drafting, extraction, research, review, translation) to the right LLM. AGPL-3.0.