From case management to the decision.
LABORIS AI organizes litigation, reads the labor courts' ruling patterns, matches them with your evidence and recommends the best move.
From intake to decision, in five steps.
- 01
Intake
We connect the case (court systems) and the company's internal data into a single view — no side spreadsheet.
- 02
Jurimetrics
We read the grant pattern by court, topic and judge, over real, public labor-court decisions.
- 03
Cross-check
We cross-reference jurimetrics with the case and internal evidence (payroll, timesheets) and flag contradictions and irregularities.
- 04
Recommendation
The decision matrix points to the lowest expected-cost move: contest, settle, strengthen evidence or act preventively.
- 05
Monitoring
Exposure and provision recalculated on every filing. The final decision is always human.
Every case in a single view.
Status, deadlines, owners, documents, hearings, claims, amounts and filings — gathered and always current. No side spreadsheet, no digging through court systems.
- —Deadlines and hearings with relevance alerts
- —Claims, amounts and parties per case
- —Filings read and classified automatically
2,409 merit decisions (labor courts)
The real pattern of each court, topic and judge.
We measure, over real and public labor-court decisions, how often each claim is granted. The same claim isn't decided the same in every court — and that's what changes the strategy.
- —Grant rate by topic and by court
- —Judge profile and deviation vs. the pool
- —Probability of conviction per case
Your evidence, matched against every claim.
Public jurimetrics tells the pattern; your data tells the case. LABORIS AI integrates payroll, time records, absences, eSocial, FGTS and reports and matches each claim against the evidence — confirming, refuting or flagging the irregularity. The generic probability becomes the real one.
- —Payroll, time records, absences, eSocial, FGTS, reports and receipts
- —Each claim contested with evidence the company already has
- —Probability adjusted to the case, not the topic average
Why: court grant pattern + judge profile + amount at stake.
The lowest-cost move, with the reason in plain sight.
The AI cross-references the case, history, documents and jurimetrics and recommends: contest, settle, strengthen evidence, prioritize or act preventively. Every recommendation carries its reason — and the final call is always human.
- —Decision matrix per case and per portfolio
- —Exposure and provision recalculated on every filing
- —Grounding traceable to the source
It ends at the decision — not at automation.
Decision, not just automation
Reading, drafting and organizing is the start. LABORIS AI goes to the move — contest, settle or concede — with the reason and the expected cost in plain sight.
Isolated instance, no cross pool
Your sensitive data lives only in your instance. The collective intelligence comes from public, anonymized data — never from a private pool across clients.
Jurimetrics as living proof
Not generic case law: it's the real grant frequency of your court and your judge, measured over real decisions.
The product in four questions
How does LABORIS AI manage the case?
It brings every case into one view: status, deadlines, owners, documents, hearings, claims, amounts and filings — no side spreadsheet.
What does LABORIS AI's jurimetrics measure?
Grant pattern per claim, recurring rulings, court behavior and judge profile — over real decisions, not opinion.
Does LABORIS AI use the company's internal data (payroll, time records)?
Yes. It integrates payroll, time records, absences, eSocial, FGTS and reports to cross-check each claim against the evidence — defending with what the company already has and adjusting the probability to the case. This data stays in the client's isolated instance.
How does the AI recommend the decision?
It cross-references the case, history, documents and jurimetrics and returns the lowest expected-cost move: contest, settle, strengthen evidence, prioritize or act preventively.