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veronica-builds/emilie
Swiss legal assistant with a local model and an MCP client
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
We have neither an install command nor a public remote endpoint from this repository, so we do not print a config. A made-up one is worse than none. How each client wires MCP up →
- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
- Score
- score 1,003 · 10 sources · mcp
FAQ (answers come from our records)
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.
# Emilie
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
A fork of Mike, extended for Swiss sovereign legal AI.
Named after Emilie Kempin-Spyri (1853–1901) — the first woman in Europe to earn a law degree, who was then denied the right to practice it in Switzerland. She deserves to be in the stack.
## What it does
Emilie is a document assistant for legal work. You upload legal documents (DOCX, PDF) and work with them through a chat interface powered by a local or managed LLM. Core capabilities:
Document chat: ask questions, extract clauses, summarize, compare versions
Projects: organize documents into matters or workspaces, share with colleagues by email
Tabular review: run structured clause extraction across a set of documents simultaneously
Workflows: define reusable AI workflows that run against documents automatically
Version tracking: upload revised documents and track changes across versions
Swiss case law search: query federal and cantonal court decisions mid-conversation via MCP
All processing runs on infrastructure you control. No document content leaves your environment unless you configure a cloud model as fallback.
## What is different from Mike
Emilie adds three capabilities on top of Mike's core document assistant:
### Sovereign auth
Mike relies on Supabase for user authentication. Emilie replaces this with custom JWT + bcrypt directly against Postgres — no third-party auth service, no data leaving your infrastructure. Users and sessions are stored in your own database.
### MCP client
Emilie connects to any Model Context Protocol server and exposes its tools directly to the LLM. Configure servers in MCP_SERVERS and they are available in every conversation without code changes.
The following Swiss legal data sources are open, free, and MCP-ready:
| Source | Coverage | Auth |
| Entscheidsuche | Federal + 22 cantonal courts, de/fr/it | None |
| OpenCaseLaw.ch | 971K+ decisions (1875–present), all 26 cantons, citation graph, legislation | None |
| Online Kommentar | Swiss legal commentaries, article-level, multilingual | None |
| Fedlex | Complete Swiss federal legislation, all 3 national languages | None |
### Local model support
Emilie routes to any OpenAI-compatible inference endpoint — no OpenAI dependency. Point VLLM_BASE_URL at a local or managed server and select "Local Model" in the UI.
Recommended model: Apertus, the open-weights LLM developed by ETH Zurich, EPFL, and the Swiss National Supercomputing Centre. Apache 2.0 licensed. Trained across 1,000+ languages with strong coverage of Swiss national languages.
Two deployment paths:
| Path | How | Data stays |
| Self-hosted | Run Apertus via vLLM on your own hardware | Your infrastructure |
| Managed Swiss | Infomaniak AI Tools — hosts Apertus in Swiss data centers | Switzerland |
## Sovereign stack
| Layer | Option |
| Auth | Custom JWT + bcrypt — no third-party service |
| Database | Postgres (self-hosted, Infomaniak VPS, or any provider) |
| LLM | Apertus (self-hosted via vLLM) or Infomaniak AI Tools |
| Case law | Entscheidsuche, OpenCaseLaw.ch, Fedlex, Online Kommentar — all free and open |
| Object storage | Infomaniak Object Storage (S3-compatible, Switzerland) |
Named after Emilie Kempin-Spyri (1853–1901) — the first woman in Europe to earn a law degree, who was then denied the right to practice it in Switzerland. She deserves to be in the stack.
## What it does
Emilie is a document assistant for legal work. You upload legal documents (DOCX, PDF) and work with them through a chat interface powered by a local or managed LLM. Core capabilities:
Document chat: ask questions, extract clauses, summarize, compare versions
Projects: organize documents into matters or workspaces, share with colleagues by email
Tabular review: run structured clause extraction across a set of documents simultaneously
Workflows: define reusable AI workflows that run against documents automatically
Version tracking: upload revised documents and track changes across versions
Swiss case law search: query federal and cantonal court decisions mid-conversation via MCP
All processing runs on infrastructure you control. No document content leaves your environment unless you configure a cloud model as fallback.
## What is different from Mike
Emilie adds three capabilities on top of Mike's core document assistant:
### Sovereign auth
Mike relies on Supabase for user authentication. Emilie replaces this with custom JWT + bcrypt directly against Postgres — no third-party auth service, no data leaving your infrastructure. Users and sessions are stored in your own database.
### MCP client
Emilie connects to any Model Context Protocol server and exposes its tools directly to the LLM. Configure servers in MCP_SERVERS and they are available in every conversation without code changes.
The following Swiss legal data sources are open, free, and MCP-ready:
| Source | Coverage | Auth |
| Entscheidsuche | Federal + 22 cantonal courts, de/fr/it | None |
| OpenCaseLaw.ch | 971K+ decisions (1875–present), all 26 cantons, citation graph, legislation | None |
| Online Kommentar | Swiss legal commentaries, article-level, multilingual | None |
| Fedlex | Complete Swiss federal legislation, all 3 national languages | None |
### Local model support
Emilie routes to any OpenAI-compatible inference endpoint — no OpenAI dependency. Point VLLM_BASE_URL at a local or managed server and select "Local Model" in the UI.
Recommended model: Apertus, the open-weights LLM developed by ETH Zurich, EPFL, and the Swiss National Supercomputing Centre. Apache 2.0 licensed. Trained across 1,000+ languages with strong coverage of Swiss national languages.
Two deployment paths:
| Path | How | Data stays |
| Self-hosted | Run Apertus via vLLM on your own hardware | Your infrastructure |
| Managed Swiss | Infomaniak AI Tools — hosts Apertus in Swiss data centers | Switzerland |
## Sovereign stack
| Layer | Option |
| Auth | Custom JWT + bcrypt — no third-party service |
| Database | Postgres (self-hosted, Infomaniak VPS, or any provider) |
| LLM | Apertus (self-hosted via vLLM) or Infomaniak AI Tools |
| Case law | Entscheidsuche, OpenCaseLaw.ch, Fedlex, Online Kommentar — all free and open |
| Object storage | Infomaniak Object Storage (S3-compatible, Switzerland) |
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