Open Source Legal Software.
Every project is a real GitHub, Codeberg, or Hugging Face repository, with stats refreshed from its source. One listing per repo, reviewed by the community, claimed by its maintainer.
Free legal-research skills and Claude plugin from DingDuff — built by lawyers, for lawyers. Also home to the DingDuff installation & help wiki.
Generate tracked-changes Word docs and redline PDFs from a contract review, the same deliverables lawyers actually send.
Primary-source-backed US legal content
Open-source Legal AI workspace for evidence-grounded legal drafting, matter analysis and verifiable answers.
Spanish legislation as a git repo
Legal document consent for Laravel
Modular contract text and rendering codebase
The EUR-Lex-Sum dataset is a multilingual resource intended for text summarization in the legal domain. It is based on human-written summaries of legal acts issued by the European Union. It distinguishes itself by introducing a smaller set of high-quality human-written samples, each of which have much longer references (and summaries!) than comparable datasets. Additionally, the underlying legal acts provide a challenging domain-specific application to legal texts, which are so far underrepresented in non-English languages. For each legal act, the sample can be available in up to 24 languages (the officially recognized languages in the European Union); the validation and test samples consist entirely of samples available in all languages, and are aligned across all languages at the paragraph level.
BetterCallClaude per il quadro normativo italiano, con MCP dedicati esclusivamente al diritto italiano
Microsoft reference for a Copilot Studio agent that drafts, routes and signs NDAs end to end. Deploy to Azure and adapt.
Multilingual EU law classification dataset
an extensible tool to generate hyperlinks from legal citations
The Harvard USPTO Patent Dataset (HUPD) is a large-scale, well-structured, and multi-purpose corpus of English-language patent applications filed to the United States Patent and Trademark Office (USPTO) between 2004 and 2018. With more than 4.5 million patent documents, HUPD is two to three times larger than comparable corpora. Unlike other NLP patent datasets, HUPD contains the inventor-submitted versions of patent applications, not the final versions of granted patents, allowing us to study patentability at the time of filing using NLP methods for the first time.
Safe DOCX suite: docx-primitives, docx-comparison, safe-docx MCP server
Reading legal authority programmatically
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