Judicex
Judicex is an open-source legal AI workspace for matter analysis, evidence-grounded drafting, and AI-assisted legal work.
What Judicex is
Judicex is an open-source legal AI workspace for matter analysis, evidence-grounded drafting, and AI-assisted legal work. Its workflow packs compare available material with a legal thesis, marking elements as present, partial, or missing and suggesting next actions. Drafting and review features include templates, split-view drafting, tabular review, and DOCX or PDF export. The answer engine connects citations to retrieved legal evidence and is designed to abstain when evidence is insufficient. Judicex supports Ollama, OpenAI, Anthropic, OpenAI-compatible providers, and MCP-aware clients, and can also operate without an LLM. Matter data is stored in an operator-controlled SQLite database and attachment directory; it remains on the host unless a hosted LLM is configured. Listed operational features include a local password gate, backup and restore, optional matter-file encryption, and API keys kept out of the browser. The project labels its current v0.2.0-alpha release a usable prototype for local development and private evaluation, not production SaaS. It gives no security guarantee for shared, multi-user, or internet-exposed deployments, and audited infrastructure needs such as HIPAA or FINRA require significant additional engineering.
Good
- Open source and usable without an LLM.
- Citations are tied to retrieved legal evidence.
- Includes templates and DOCX/PDF export.
- Matter data stays on the host unless hosted LLM is configured.
- Includes backup and restore.
Watch out
- Current release is v0.2.0-alpha.
- No security guarantee for shared or internet-exposed deployments.
- Audited infrastructure requirements need significant additional engineering.
Who it suits
Judicex may suit a lawyer or small legal team evaluating a locally run workspace for matter analysis and drafting. It is not presented as production SaaS or as suitable for shared, multi-user, or internet-exposed deployments.
Verdict
Judicex provides matter analysis and drafting tools with evidence-linked citations and operator-controlled storage. Its alpha status and stated deployment limits make it a fit to evaluate locally, not a production SaaS replacement.
The facts
Each one read from Judicex's own pages, with the date it was checked.
What it does
- Compliance limits
- The security policy says deployments requiring audited infrastructure for requirements such as HIPAA or FINRA are not supported without significant additional engineering.checked 4 Oct 2026
- Documents
- Users can upload PDF, DOCX, text, Markdown, CSV, JSON and image files, with OCR via Ollama.checked 9 Oct 2026
- Drafting
- Judicex provides a split-view drafting page and can export drafts to DOCX or PDF.checked 9 Oct 2026
- Drafting and review
- It includes document templates, a split-view drafting page, tabular review, and DOCX/PDF export for drafts.checked 4 Oct 2026
- Evidence and answers
- Its answer engine binds citations to retrieved documents and can abstain when evidence is insufficient.checked 9 Oct 2026
- Evidence and citations
- Its answer engine binds citations to retrieved legal evidence and is designed to abstain when evidence is insufficient.checked 4 Oct 2026
- Installers
- Script-based local installers are documented for Windows and macOS, and launch Judicex at a localhost address.checked 9 Oct 2026
- Integrations
- The software supports Ollama, OpenAI, Anthropic and OpenAI-compatible LLM providers, as well as an MCP stdio server for MCP-aware clients.checked 9 Oct 2026
- Intended users
- The project describes its workspace as intended for lawyers and legal teams.checked 9 Oct 2026
- Legal disclaimer
- Judicex states that it does not provide legal advice or replace a qualified legal professional, and that outputs may be incomplete, incorrect, outdated or unsuitable for a jurisdiction.checked 9 Oct 2026
- Local storage and privacy
- Matter data is stored in a SQLite database and attachment directory selected by the operator, and data stays on the host unless a hosted LLM is configured.checked 9 Oct 2026
- Matter analysis
- Matter analysis maps a legal thesis to proof elements and reports present, partial or missing support with next actions.checked 9 Oct 2026
- Privacy
- Matter data is stored in a SQLite database and attachment directory controlled by the operator, and data stays on the host unless the operator configures a hosted LLM.checked 4 Oct 2026
- Product
- Judicex describes itself as an open-source legal AI workspace for evidence-grounded drafting, matter analysis and verifiable answers.checked 9 Oct 2026
- Product maturity
- The repository labels the current release v0.2.0-alpha and describes it as a usable prototype rather than production SaaS.checked 4 Oct 2026
- Security controls
- The project says API keys should be kept in environment variables and are not sent to the browser.checked 9 Oct 2026
- Security features
- The listed privacy and operations features include a local password gate, backup and restore, optional matter-file encryption, and API keys kept out of the browser.checked 4 Oct 2026
- Security limitations
- The current v0.2.0-alpha is intended for local development and private evaluation, and the project gives no security guarantee for shared, multi-user, or internet-exposed deployments.checked 4 Oct 2026
- Security limits
- The security policy says Judicex v0.2.0-alpha has no security guarantee for shared, multi-user or internet-exposed deployments and is not designed for audited regulatory workloads without significant additional engineering.checked 9 Oct 2026
- Support
- The security policy directs vulnerability reports through GitHub Security Advisories or the maintainer contact channel and says to expect acknowledgement within a reasonable time.checked 9 Oct 2026
- Support and reporting
- The security policy asks users to report vulnerabilities privately through GitHub Security Advisories or a maintainer contact channel listed on the GitHub profile.checked 4 Oct 2026
Where it runs
- Platforms
- The repository provides script-based local installers for Windows and macOS, and describes running the web app on a workstation or private server.checked 4 Oct 2026
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