The problem you're facing
Your experts spend hours reading reports, contracts and files to extract the essentials. Hand-made summaries are slow to produce, and less urgent documents go unread : with whatever critical information they contain.
Our answer
We build summarisation chains adapted to your documents: executive summaries, attention points, answers to specific questions : always grounded in the source text, with references to the pages used.
What LaMeDuSe AI takes care of
- Summarisation adapted to your document types
- Grounded summaries: every claim links to its source
- Attention points and critical clauses flagged
- Natural-language querying of the document corpus
- Whole-file processing (multi-document)
- Human review circuit on sensitive summaries
- Integration with your DMS or document space
Our methodology
- 1
Existing process analysis
Measuring the current state: time spent, error rates, friction points. The baseline serves as a measurable reference.
- 2
Targeted prototyping
A prototype on your real data, evaluated with your business teams : not on a generic benchmark.
- 3
Supervised rollout
Progressive go-live, human oversight on ambiguous cases, continuous gain measurement.
- 4
Industrialisation
Scope extension once value is proven, with documentation and team training.
Technologies
Security & compliance
Data processed within the European perimeter, minimisation before sending to models, complete logging and no reuse for training.
Hosting
Hosted on the group's European infrastructure : datacenters in France, Germany and Switzerland.
Maintenance
Production quality tracking, model and pipeline tuning, support by the build team.
Why LaMeDuSe AI
Our teams daily process technical and contractual documentation with summarisation chains we built: the reliability requirement isn't theoretical.
Frequently asked questions
Through grounding: every claim in the summary links to the document passage supporting it, and uncovered points are flagged as such. Human review stays on high-stakes summaries : AI prepares, the expert validates.
Yes: beyond the summary, the system answers questions over the corpus ("which termination clauses in these contracts?") with source excerpts as evidence. It's often the teams' favourite usage.
From a single document to corpora of several thousand pages: the architecture adapts (batch processing, vector indexing). The POC evaluates your real volumes and associated processing times.
Yes: processing on European infrastructure, encryption, minimisation and no reuse for training. Full self-hosting option for regulated files.