The same expert archetype, simulated thousands of times across an MDL docket. Each simulation returns a structured strategic artifact (likely opinion, cross-examination weaknesses, methodology challenges, settlement-range implications) in ~60 to 90 seconds. Build the methodology once. Apply it across every matter the firm coordinates.
Individual simulations are $50 each. Firms run on credit plans with volume pricing; example cases are always free.
Frontier AI has compressed the cost of a strategic expert artifact from $13K per archetype to $50 per simulation. For mass-tort coordinating counsel, that compression is multiplicative. 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 archetype anchors nuclear-verdict trucking practice. Each archetype is the same expert pattern across thousands of matters. Build the strategic artifact once at MDL coordinating-counsel scale, and the per-matter unit economics of every downstream filing changes.
The named-expert archetypes that anchor plaintiff PI and mass-tort practice. Sequenced for first build, with named-exemplar fidelity validated against public depositions, trial transcripts, and Daubert rulings.
The deliverable is the Exposure & Settlement Brief: four artifacts, 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 expert archetypes: 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 archetype 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 a small number of early-access pilots with 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 archetype it needs gets prioritized.
Request early access →