Arca vs Judicex
Arca
arca.legalJudicex
github.comSide by side
| Figure | Arca | Judicex |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 2 | 0 |
| Spec score · AI Legal Research Software | 8.5 (#2) | 7.6 (#19) |
| Integrations | The site names Word, Slack, Outlook, and Salesforce as enterprise integrations. | The software supports Ollama, OpenAI, Anthropic and OpenAI-compatible LLM providers, as well as an MCP stdio server for MCP-aware clients. |
| Intended users | The terms say the services are intended for businesses and professionals. | The project describes its workspace as intended for lawyers and legal teams. |
| Product | Arca is a platform for deploying legal and compliance agents that perform research, intake and standard operating procedures. | Judicex describes itself as an open-source legal AI workspace for evidence-grounded drafting, matter analysis and verifiable answers. |
| Security controls | The security page lists hardened cloud infrastructure, network isolation, role-based permissions, SSO, continuous monitoring and detailed audit logs. | The project says API keys should be kept in environment variables and are not sent to the browser. |
| Support | Arca says enterprise deployments include dedicated support and offers demo contact through [email protected]. | The security policy directs vulnerability reports through GitHub Security Advisories or the maintainer contact channel and says to expect acknowledgement within a reasonable time. |
Plans
In their own words
Judicex
Judicex is an open-source legal AI workspace for matter analysis, evidence-grounded drafting, and review. Its workflow packs compare a legal thesis with matter materials, identify elements that are present, partial, or missing, and suggest next actions. Users can upload PDF, DOCX, text, Markdown, CSV, JSON, and image files, with OCR via Ollama. Drafting features include templates, a split-view page, tabular review, and DOCX or PDF export. The answer engine ties citations to retrieved legal evidence and is designed to abstain if evidence is insufficient. It supports Ollama, OpenAI, Anthropic, OpenAI-compatible providers, and MCP-aware clients, and can run without an LLM. Matter data is stored in an operator-controlled SQLite database and attachment directory, remaining on the host unless a hosted LLM is configured. The project lists a local password gate, backup and restore, and optional matter-file encryption. Its v0.2.0-alpha release is described as a prototype for local development and private evaluation, not production SaaS; it offers no security guarantee for shared, multi-user, or internet-exposed deployments.