The same expert, simulated thousands of times across an MDL docket. Each simulation returns a brief (likely opinion, cross-examination weaknesses, methodology challenges, settlement-range implications) in minutes. Build the methodology once. Apply it across every matter the firm coordinates.
Individual simulations are $50 each. Example cases are free on a firm email address, and firms run on credit plans with volume pricing. See pricing.
Frontier AI has compressed the cost of a brief to $50 per simulation. We publish the cost it displaces only where we have measured it, which so far is securities and antitrust; the mass-tort figure is not ours to quote yet. What is already true here is structural: for coordinating counsel the compression is multiplicative rather than per-matter. The "every-exposure" Daubert weapon (Krik v. Exxon, Bostic, Anderson) anchors toxic-tort causation work across asbestos, talc, PFAS, and Roundup dockets. The OB-nursing and ACOG fetal-monitoring methodology anchors birth-injury work. The trucking-safety / FMCSR expert anchors nuclear-verdict trucking practice. Each expert is the same expert pattern across thousands of matters. Build the brief once at MDL coordinating-counsel scale, and the per-matter unit economics of every downstream filing changes.
The experts that anchor plaintiff PI and mass-tort practice. Each is a de-identified composite of a class of testifying expert, built from public depositions, trial transcripts and Daubert rulings, and never a named individual. Sequenced for first build.
The deliverable is the Exposure & Settlement Brief: four sections, every supporting quote verified against the public record.
Set up the case and upload documents. The file is extracted and available to the analysis.
Add one or more de-identified experts: the opposing expert, or your own retained expert.
Ground the analysis in extraction from your uploaded case documents: expert reports, depositions, and filings in the matter.
Produce the Exposure & Settlement Brief: likely opinion, cross-examination weaknesses, methodology challenges (Daubert / FRE 702), and settlement-range implications.
Every supporting quote is checked verbatim against public-record sources. Quotes that cannot be verified are dropped, not guessed.
Rehearse the exchange against the expert before the deposition: question, answer, follow-up.
Put a question to the case file, the complaint, the opposing report, the brief, and get an answer cited to the page, read as the opposing expert would. When the record is silent, it says so instead of guessing.
Attack an opposing report for its weak points, or red-team your own retained expert's draft before it is served.
Export to Word, a Daubert-motion outline, and a cross-examination outline, plus PDF, copy, and email. Deliverable history is retained.
Where warranted, optionally overlay a specific expert's public judicial record. Admin-controlled, not on by default.
Matter content is handled as privileged material end to end: where it runs, where it is stored, and what is ever written to a log.
Magic-link sign-in tied to a named person: a one-time link to a work email. No password to phish or manage.
Firm accounts with a firm-admin role and self-service team management across multiple devices.
The model runs server-side. The browser never holds an API key.
Inference is US-pinned and routed only through Zero-Data-Retention-eligible endpoints. Matter content is not used to train third-party models.
Per-firm data isolation in a US-region database; uploaded documents in a US-region store.
Metadata-only audit logging; privileged content is never logged. Deleted matters are removed after a 30-day recovery window.
Pilots add SSO, RBAC, immutable audit logging, and a signed Anthropic data processing addendum (DPA) plus Zero-Data-Retention addendum.
We're opening early access to a small number of firms: MDL coordinating counsel and senior trial partners at mass-tort firms. One named matter, your choice. Public-record training data only. Direct line to the founding team. Pipeline pull moves the queue; if your matter is in flight, the expert it needs gets prioritized.
Request early access →