Your data is yours. The jurimetrics is everyone's.
Two layers, two rules. Your company's sensitive data is sovereign and isolated; jurimetrics comes from what's public — anonymized and collective. The best of both, with neither touching the other.
Payroll · time · eSocial · defense strategy
Labor-court decisions · aggregated · anonymized
Private, isolated, only yours.
Payroll, time records, eSocial, employee data and your defense strategy. They stay in your instance — never crossing with another client, never training models.
- —Dedicated per-client instance
- —No training · zero retention
- —LGPD, segregated access, audit
Public, anonymized, everyone's.
Public labor-court decisions, aggregated and anonymized. A collective layer that gets better with every analysis — without ever touching anyone's private data.
- —Grant pattern by topic, court and judge
- —Patterns of plaintiffs, lawyers and judges
- —All from public, anonymized sources
The boundary is strict: the collective layer uses only what's public; your sensitive data never leaves your instance.
No training on your data
Your documents and cases do not train models. Zero-retention policy with AI providers — data comes in to answer, not to be learned.
Grounded recommendations
Every recommendation is checked against the source: excerpt and value verified in the document itself, with a verification seal. The final call is always human.
LGPD & governance
LGPD compliance, access segregation and an audit trail. Encryption in transit and at rest. Transparency on what is processed and why.
Security in four questions
Do you use my company's data to help other clients?
No. The collective jurimetrics comes from public, anonymized court decisions. Your internal data — payroll, time records, strategy — stays isolated in your instance and never feeds anything collective.
Then how does cross-company benchmarking work?
On public data. Plaintiffs, lawyers and judges appear in public cases; cross-referencing those patterns is reading public sources, not your private data.
Do you train models on my documents?
No. We operate under a zero-retention policy with AI providers. Your documents are not used to train models.
How do you comply with LGPD?
LGPD compliance, access segregation, an audit trail and encryption in transit and at rest. Sensitive employee data stays in the client's isolated instance.
Walk through security with us.
We show the two-data boundary and the security boundary in practice.
Book a demo