Legibus — Legal IA (LLM + RAG)
AI-powered legal solution combining LLM and RAG, designed to provide contextualized and verifiable answers.
legal ai langchain django rag
Legibus
Legibus is an AI-powered legal assistant project.
It was designed around a strong constraint:
Not to replace humans. To augment them.
Vision
In the legal field, errors are not acceptable.
Legibus was therefore designed with a radically different approach from mainstream LLM tools:
- No black-box logic
- No opaque answers
- No unrealistic promises
Architecture
The system is built around:
- LLMs orchestrated through controlled pipelines
- A RAG layer for document grounding
- A dedicated Django backend
- Control APIs
- A strict separation of concerns: ingestion, indexing, generation
My role
On Legibus, I worked as:
- Technical architect
- AI integrator
- Infrastructure lead
- Backend orchestrator
I collaborated with a PhD in AI and an R&D team in a co-construction mindset.
Technical principles
- Explainable logging
- Data versioning
- Controlled embeddings
- Environment isolation
- Response monitoring
Legibus is not a magic product.
It is a serious tool for a serious domain.
AI should not replace.
It should illuminate.