Decisions that hold up.
On every claim.
Omnilex is an AI-enabled lawyer team. The system reads every claim file end-to-end, structures the timeline and findings, and flags contradictions. A lawyer signs a documented recommendation before the decision goes out, so the record exists when anyone asks for it.
Trusted by legal teams at
How it works
A complete record, on every claim.
Full review instead of sampling. The system never decides a claim, lawyers do.
Your claims team
Claims from every line, at the volume a live claims book produces.
Omnilex claims review
Every page is read, the timeline and findings are structured, contradictions are flagged. A lawyer signs a documented recommendation before the claim returns to your team. The system never decides a claim.
Behind Omnilex claims review, every claim file gets a full read instead of a sample, and a lawyer signs off before it returns. The record exists before anyone asks for it, whether that is a regulator, a court, or opposing counsel in discovery. The routine volume comes off your team's desk; the decisions stay with you.
Why full review
The gap a sampling-based process does not catch.
A decision's exposure turns on whether it was reasonable and well-documented at the time it was made, not just whether it was ultimately correct. Sampling leaves most files without that record, and reconstructing it after a challenge is the weakest position to argue from. Full review does not only produce a defensible record, it also has a financial effect: for one of our clients, moving from sampled to full review surfaced 2% of decisions that had been wrongly approved, summing up to over $11M a year.
2%
of decisions surfaced as wrongly approved on full review.
$11M+
a year, on one claims book.
Every claim file
read end-to-end, lawyer-signed.
The technology behind it
Omnilex was built for 8'000 lawyers first.
Omnilex's legal analysis engine is built in-house, on the methodology of more than 8'000 lawyers. Applied to claims, it reads every page of every claim file, structures the timeline and findings, and flags contradictions. The documentation is produced at decision time, not reconstructed later, and a lawyer stays accountable for every claim; the engine never decides on its own.
Data Processing
Omnilex leads the way in collecting, curating and processing legal data for its proprietary legal reasoning engine.
Reasoning Engine
Omnilex's legal analysis engine is built in-house, on the legal methodology and way of working of more than 8'000 lawyers.
Infrastructure
The AI Workspace and the analysis engine run securely on infrastructure that protects data and the professional secrecy of legal professionals and enterprises.
Sectors
Built around how you handle claims.
Group disability claims under ERISA live or die by the administrative record. P&C, health and workers' comp decisions answer to state law and to what discovery produces. The review is the same; what the record must hold up against is not.
Group disability (ERISA)
Who
Plans and administrators handling group LTD claims under ERISA, where courts defer to your decision only as long as the administrative record supports it.
How we help
We build a complete, well-reasoned administrative record before a decision is finalized. When the record holds, deference holds; your own file is never the weak point.
P&C, health & workers' comp
Who
Carriers and administrators handling claims across P&C, health, workers' comp and individual disability, with bad-faith and regulatory exposure under state law.
How we help
What gets produced in discovery is the whole case. Our system builds that record automatically on every claim, lawyer-signed, so it exists before litigation, not after.
The people
Run by industry leaders.
Expert lawyers examine and sign off every claim

Francesco L. Bianchi
Lawyer
Securities, digital assets & M&A (NY and Swiss qualified)

Kevin Baggenstos
Lawyer
Tax Law, M&A

Mauro Rappo
Lawyer
Commercial & Corporate Law
You can rely on us

Marc Rudisuhli
Business Development

Jérémie Amstutz
AI Engineer

Luis Bueno
User Experience

Yana Maeva
Operations

Tomas Valdivieso
AI Engineer

Simon Schütz
Business Development

Etienne Salimbeni
CTO

Marco Henri
CEO

Mohammad M. Hejazi
Fullstack Software Engineer

Ismael Seck
CCO

Kevin Erhart
Revenue Operations
