Claim type · Mass Tort

Handle the volume, without growing the team.

Mass tort volumes are climbing — pharmaceutical, environmental, product liability, catastrophic event. FinLegal automates intake, qualification, evidence gathering and document generation so your team handles thousands of claimants, not thousands of emails.

10M+ claimants managed · 80+ case types · 5 countries
12,840 in intake Mass tort programme
10,290 qualified & signed Auto-screened against criteria
9,418 PFSs generated Individualised · firm-branded
317 fraud flags AI-detected · queued for review
The challenge

The mass tort problem.

Tens of thousands of claimants, each with their own facts, timelines, evidence and anxieties. Manual operations don't scale here.

Intake bottleneck

Every claimant needs qualification, ID, history and supporting evidence. With 10,000+ claimants, intake teams become the constraint — and the cost.

Client attrition

Without structured nudges, claimants disengage. You lose the cases you already qualified because nobody chased the missing document.

Fraud exposure

Mass tort attracts opportunistic filings. Identifying them manually is impossible at scale — and admitting a bad claim contaminates the cohort.

How FinLegal fits

Self-service intake to bulk PFSs, on one platform.

Every part of mass tort operations — intake, qualification, AI review, comms, document generation — running on the same cohort data.

№ 01

Self-service intake at scale.

Firm-branded online portal captures ID, eligibility criteria and case-specific facts. Video guides replace hand-holding calls. 80% of claimants complete unaided.

White-label Eligibility logic ID & KYC
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Claimant intake · PFAS exposure
12,840
in intake · last 30 days
80.1%
unaided completion
Step 1EligibilityExposure window 2010–2022
Step 2Identity (KYC)Govt ID + selfie match
Step 3Medical historySymptoms & diagnoses
Step 4Sign retainerDocuSign · e-sign
№ 02

AI fraud & document review.

Inconsistencies across submitted documents are surfaced automatically. Every flag comes with a confidence score for human review. Auto-classify, extract and reconcile across the entire cohort.

Fraud detection Bulk extraction Confidence scoring
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Document review · 92,140 docs
Medical records38,210
Extracted: diagnosis, dates, providers
Exposure attestation28,415
Cross-checked against location data
Employment history15,940
Classified · 6 industry sub-types
Fraud flags317
Confidence-scored for review
№ 03

Bulk plaintiff fact sheets & comms.

Generate individualised PFSs, medical chronologies and supporting bundles across the full cohort — firm-branded, reviewable. Email and SMS keep claimants engaged through every stage.

Bulk PFSs Templated comms Response tracking
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Cohort engagement · Information request
Template · Records request
Hi {{first_name}}, we still need your records from {{provider}}. Tap to upload — takes a minute.
Sent12,840
Responded10,290
In review2,233
Flagged317
From the field

"One team member ran 10,000+ clients part-time. Responses doubled overnight."

Mass tort partner · US firm

Pitching for a mass tort?

We'll show you how firms run 50,000-claimant torts with lean, automated operations — without compromising defensibility.

SOC 2 compliant UK GDPR compliant Data encrypted at rest Fine-grained user management

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