The shape of legal open source.
Twenty practice-grounded categories, from running a firm to serving statutes over MCP. Every project carries one to four.
Full legal AI assistants, copilots, and matter workbenches.
Skill packs, plugins, and portable workflows for AI agents.
Model Context Protocol servers exposing legal data and tools.
Run a firm or legal team: matters, time, billing, clients.
Assembly, templating, and guided drafting of legal documents.
Contract lifecycle, review, redlining, and clause analysis.
Finding and reading statutes, case law, and commentary.
Embeddings, retrieval pipelines, and RAG over legal corpora.
Collection, processing, and review of evidence at scale.
Scrapers, APIs, and corpora of decisions, statutes, and legislation.
Citation extraction, normalization, and legal-text parsing.
Computational law: statutes, tax, and contracts as executable code.
Tools that help people navigate the law without a lawyer.
Regulatory compliance, data protection, and policy tooling.
Models, pipelines, and applications for legal language.
AI that runs on your own machine. No cloud, no data leaving the building.
Signing, approvals, and legally binding process automation.
Evaluation suites and datasets for legal-domain systems.
Open-source licensing, public policies, and reusable legal documents.
Awesome lists and landscape maps of the legal tech ecosystem.