The market

Wherever a contract depends on the ground

We start with insured property, where climate hazard is changing which buildings can be insured, and on what terms. The same join would then serve loans, leases, public works and networks.

The problem

Policies are changing faster than they can be checked against the buildings

Climate hazard is changing which buildings can be insured, and on what terms.

French towns feel it first. France has about 35,000 municipalities; most insure their own schools, halls and depots, and the larger ones buy that cover by public tender. When an insurer cancels, the town re-tenders, and the new wording must be checked by hand against every building.

In Canada, where overland flood cover is sold as an add-on, brokers and insurers have to re-read each portfolio against the flood hazard at every renewal.

Owners, lenders and buyers of buildings often hold only a certificate: it shows a policy exists, not whether flood is covered beyond the natural-disaster scheme (France) or was added by endorsement (Canada), whether the limits still fit the building, or what the policy excludes.

1 in 5French local authorities answering a Senate consultation have had a contract cancelled by their insurer since January 2023 (Senate, 2024)

~850,000Canadian homes still without access to overland flood insurance (Insurance Bureau of Canada, July 2026)

1.5 millionCanadian households highly exposed to flooding (federal task force, 2022)

Who uses it first

Owners of many buildings, and their brokers

A certificate is not enough. The join needs the policy wording, so we start with those who hold it.

First users, why they come first, and when
Who	Why	When
Public and private owners of many buildings, with their brokers	They hold the full policies. In France, the terms municipalities require of their insurers are published in their tenders, and French law is already in our engine.	First: pilot in France
Brokers and insurers in Canada	Portfolio review at each renewal	Next, once Canadian data is ingested
Property lenders	Insurability at refinancing	Later

Who pays, and how we reach them

We sell to those who hold the wordings

The insurance or risk manager of a town, or of an owner of many buildings, and the broker who places their cover. They hold the full policies and answer for them.

Three moments they pay for

At renewal or re-tender. Is each building still covered for what it faces?
After an event. Which buildings the water reached, what the clauses say, how long is left to declare.
Before a tender. The questions the tender should answer, from what the portfolio faces.

First a diagnostic, then a continuous watch. A town can buy through its broker, under a direct contract below the procurement threshold, or through a central purchasing body.

How we reach the first buyers

Brokers serving many towns: one broker opens many portfolios at once.
Public tenders. Towns publish the insurance terms they require, so we can read them before the first meeting.
The flood replay. Once built, a past event shown building by building to the towns of the same region.

Why now

The ground is moving faster than the paper

Insurers are repricing

Climate losses are pushing insurers to reprice, restrict or drop cover, in Canada as in France. Wordings drift away from the risk they were written for.

Both sides can now be read by machine

Language models can now pull covers, exclusions and limits out of long wordings; tying each one back to its clause is the part we are building on our legal engine. Copernicus radar maps floods through cloud, free, every few days.

Insurability is now a public question

In France, the insurability of local authorities has become a national issue: the Senate consulted them in 2024, and a mission commissioned by the government reported the same year.

Landscape

Most tools read one side. We are building the join.

What each category of tool reads
Category	Legal text	Ground data	Policy wording tested against the ground, clause by clause
Legal AI	Yes	No	No
Hazard and climate-risk data	No	Yes	No
Digital-twin platforms	No	Yes	No
Parametric insurance	Contract written around one index	Yes	One index, not the wording
Legibus: Sentinelle + Vigil9	Law: runs today. Policies: in build	Designed	Designed

Legal AI competes on research and drafting. Parametric cover writes the contract around one index. We are building the reading of the contract as written, tested against the ground.

The destination

A digital twin that knows its contracts

Built once per asset, read by every contract on it. A new market adds a contract reader, not a new map: the same school sits in its policy, its loan and its works contract.

Three layers per asset

Physical. Imagery, terrain, cadastre, footprints
Legal. Contracts, clauses, the law behind them
Financial. Loans, collateral, portfolios

Wherever a contract depends on the ground

Insured property · first
Loans and leases on real assets
Public works and concessions
Energy and infrastructure networks

Simulate one flood or one fire across every building, contract and loan it touches.

Not built. This is where the first use case leads.

See the engine work

A 30-minute live demo, in English: the legal engine on questions you choose from French or EU law (it answers in French), then the architecture of Sentinelle and Vigil9.

Ask for a demo Become a design partner

Mehdi Kheredine · Founder and CEO
mehdi.kheredine@legibus.ai