One case's worth of analysis. Run across a thousand claimants.
Mass tort medical record review software applies the same chronology, extraction, and qualification criteria across an entire docket at once — one case’s worth of analysis, run across a thousand claimants — and surfaces the bellwether cases worth trying first. Every finding is cited to its source page, and every intake decision stays with your attorneys.
The same criteria, applied to every claimant.
Define the qualification checklist once — proof of exposure or usage, a qualifying diagnosis, treatment inside the date window, no disqualifying condition — and the batch runs it against every claimant's records identically. Each criterion returns met, not met, or not documented, with a page citation behind every result.
Triage the docket without touching a banker's box.
The batch sorts claimants into meets-criteria, does-not-meet, and needs-review — the last reserved for files with documentation gaps, conflicting histories, or missing records. Contract reviewers stop reading every page of every file; your team starts at the exceptions.
Bellwether candidates, surfaced from the records.
Some files carry the docket: clean exposure proof, a well-documented diagnosis, a consistent treatment course. The batch flags those claimants as bellwether candidates — a cited shortlist drawn from the documentation, not a ranking verdict. Which cases to work up first stays a strategy call for the attorneys.
A docket decision you can defend, claimant by claimant.
Census disputes and lien audits punish undocumented intake calls. Here every qualification result is source-linked and legally defensible — cited to the page of that claimant's record — and files the record can't support are flagged, not guessed. AI sorts; attorneys decide.
See Verifiable AI CitationsFrom intake pile to triaged docket.
Three steps, whether the docket holds two hundred claimants or two thousand.
Bulk-upload claimant files and set the qualification checklist for the litigation once.
Each claimant gets a chronology, extraction, and the criteria run — with citations — at batch speed.
Work the three buckets and the bellwether shortlist; click any result through to its cited page.
Who runs dockets through it.
Built for legal teams whose unit of work is the docket, not the file.
Intake qualification and bellwether selection grounded in the records, not the intake form.
For law firmsReplace the page-one-first review queue with an exception queue — the specialty workflow, end to end.
For case review teamsDeliver docket-scale record review for firm clients with per-claimant citations built in.
For legal supportMass tort batch processing, answered.
Upload claimant files in bulk — each claimant's records are processed as their own case, with the same chronology, extraction, and quality flags a single-case review gets. The docket view then rolls every claimant up into one screen: status, criteria results, and flags, each linked back to that claimant's cited file.
You define the criteria that matter for the litigation — proof of exposure or usage, a qualifying diagnosis, treatment within a date window, absence of a disqualifying condition — and the same checklist runs against every claimant's records. Each criterion returns met, not met, or not documented, with a page citation for every finding.
Claimants whose records show the strongest documented fact patterns against your criteria — clean exposure proof, well-documented diagnosis, consistent treatment course — are flagged as bellwether candidates for your review. The flag is a cited shortlist, not a ranking verdict; which cases to work up first stays a strategy call for the attorneys.
Each claimant lands in one of three buckets based on the documented criteria: meets criteria, does not meet criteria, or needs review — the last for files with gaps, conflicts, or missing records. Every bucket assignment is traceable to the criterion results and their citations, and attorneys make the final intake decision on every file.
The pipeline is built for dockets: hundreds to thousands of claimant files, each of which can itself run to thousands of pages, processed in parallel rather than one at a time. Turnaround per claimant is typically minutes to hours, so a docket-wide pass takes days, not review-team quarters.
Related capabilities.
Batch processing runs the same cited engines, docket-wide.
The per-claimant timeline every batch run builds — each event synced to its source page.
See medical chronologyThe insurance-side sibling: incoming files sorted by documented criteria, humans deciding.
See claims triageFavorable and unfavorable fact patterns in any single file — signals with citations, never a verdict.
See signal flaggingStart with one claimant file from your docket.
Upload a single file and see the chronology, extraction, and cited criteria results the batch would produce for every claimant. Handled under our BAA; never used to train a model.