Show HN: Judicex – Open-source legal AI that abstains instead of hallucinating
Judicex is an open-source legal AI software designed for evidence-based drafting and legal work management. It allows legal teams to manage documents and generate drafts while ensuring that responses are grounded in verifiable evidence. The software emphasizes privacy by enabling local installations and controlling data flow without relying on external cloud services.
- ▪Judicex provides a workspace for lawyers to manage evidence and generate legal drafts.
- ▪The software features a two-tier evidence model that distinguishes between citable legal sources and operational notes.
- ▪It includes a local SQLite knowledge base and allows for private matter management without sending data to external vendors.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,341 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/JustVugg/judicex |
| Publication time | Tue, 26 May 2026 10:09:09 +0000 |
| Retrieval time | 2026-05-26T10:17:47.998Z |
| Last seen | 2026-05-26T10:17:47.998Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 7v2k7lm_GnzM |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Judicex Open-source legal AI software for evidence-grounded drafting, matter management and AI-assisted legal work — with an answer contract that fails closed instead of hallucinating. Judicex is a workspace for lawyers and legal teams. You can ingest official sources and private matter files, run deterministic workflow checks, generate drafts in a Word-style split-view editor, and chat with an LLM whose answers are bound to the evidence in a SQLite knowledge base you control. The project ships with a Flask web UI, a CLI, and an MCP stdio server, and talks to Ollama, OpenAI, Anthropic, OpenAI-compatible providers — or runs with no LLM at all. Open-source vs. cloud.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.