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Abstract copper and black metallic geometric shapes arranged in a row against a black background.

Firefighters Carry the Exposure. You Have to Document the Career and the Diagnosis.

Surface cancer diagnoses, oncology treatment history, and firefighter employment records across your AFFF docket.

AFFF litigation is one of the largest toxic-exposure mass torts in the country. Tens of thousands of cases alleging that occupational exposure to aqueous film-forming foam (AFFF) caused kidney, testicular, thyroid, and prostate cancers.

Each case rests on three records that rarely arrive complete at intake: a documented firefighting or AFFF-handling career, a qualifying cancer diagnosis, and a treatment history that holds up under defense scrutiny. Reconstructing the employment record, the oncology providers, and the PFAS history is far harder than recalling the diagnosis.

SettLiT provides the digital health data layer that helps AFFF firms qualify claimants earlier, verify cancer diagnoses through claims and lab data, and surface the oncology treatment picture before record retrieval begins.

250M+
individuals in connected health network
5 min
response time for many digital sources
90%
data return success rate
7–10 yrs
of medical data visibility

What Makes AFFF Qualification Operationally Demanding

AFFF litigation requires firms to substantiate three things at once: a documented exposure history through firefighting or AFFF-handling employment, a qualifying cancer diagnosis, and a treatment record sufficient to support tier placement. Claimants — many of them retired municipal firefighters, military personnel from bases with documented foam use, or airport rescue crew — present with a partial picture of any one of those three at intake.

inCOMPLETE INTAKE NARRATIVES

Claimants who served decades across multiple departments, military assignments, or airport posts cannot fully recount the foam exposures or every provider involved in their cancer care. The intake call captures the diagnosis, but rarely the rest.

SLOW MEDICAL RECORD RETRIEVAL

Without knowing which oncology, urology, and surgical providers are part of the claimant's care history, retrieval cannot begin. Identifying the right facilities across state lines and decades of service takes weeks before a single record is ordered.

CAPITAL DEPLOYED TOO EARLY

Firms invest in case workup before confirming the cancer diagnosis, the exposure history, and the treatment record meet qualification criteria. Cases that fall short on any of the three still absorb the cost of that commitment.

LATE LITIGATION
SURPRISES

Defense uncovers prior cancer diagnoses, alternative occupational exposures, or family history of the qualifying cancer. With bellwether outcomes shaping tier valuation, late discoveries carry significant strategic cost.

Build the Medical Foundation Before You   Build the Case

The firms building the strongest AFFF dockets are not starting with retrieval. They are starting with data — structured health data that confirms the cancer diagnosis, surfaces the oncology treatment record, and verifies firefighter employment before resources are committed.

1
Intake Narrative
Initial claimant information including reported AFFF exposure, firefighting service history, and known cancer diagnosis..
2
Digital Health Data (SettLiT)
Structured health data surfaced early: cancer diagnosis confirmation from claims data, oncology and surgical treatment history, PFAS biomarker results from lab networks when available, firefighter employment verification through background data.
3
Targeted Record Retrieval
SettLiT does not replace medical record retrieval. It makes retrieval narrower, more targeted, and more strategic.
4
Litigation Strategy and Case Development
SettLiT does not replace medical record retrieval. It makes retrieval narrower, more targeted, and more strategic.

What SettLiT Helps Firms Surface in AFFF Cases

SettLiT connects to national health data networks and structured medical datasets to surface the signals that matter in AFFF litigation.

Qualifying cancer diagnoses confirmed via claims data: kidney cancer, testicular cancer, thyroid cancer and disease, prostate cancer.

Oncology and surgical treatment history including nephrectomy, orchiectomy, thyroidectomy, prostatectomy, chemotherapy, and radiation

Treating providers across oncology, urology, endocrinology, nephrology, and surgical specialties.

Continuous lab results as part of their treatment from national lab networks, including mobile blood draw availability where prior testing does not exist.

Treatment timelines that help establish the medical narrative before records are pulled.

Mapping Data to MDL 2873 Eligibility

AFFF personal injury claims require documented occupational or training exposure to AFFF, a qualifying cancer diagnosis, and a treatment record consistent with the claim. SettLiT maps directly to the evidentiary requirements:

Occupational AFFF Exposure

Background data returns employment history covering firefighting, military service, and aviation rescue roles. Address history confirms residence on or near documented AFFF training and use sites.

Qualifying Cancer Diagnosis

Claims data returns ICD-10 codes for kidney cancer (C64), testicular cancer (C62), thyroid cancer (C73), prostate cancer (C61), and other diagnoses tied to the MDL, with date of first diagnosis and staging information.

Oncology and Surgical Treatment History

Treatment data shows nephrectomy, orchiectomy, thyroidectomy, prostatectomy, chemotherapy, radiation, and ongoing surveillance procedures that document severity and progression.

Elevated PFAS Biomarker Concentrations

Lab data surfaces PFOA, PFOS, and related PFAS serum concentrations from national lab networks, with mobile blood draw available for claimants who have not yet been tested.

8,000 Cases Processed. Every Career Is Its Own.

AFFF dockets run into the tens of thousands and continue to grow ahead of filing deadlines. But the strength of each case still depends on one claimant's specific cancer diagnosis, one career-spanning exposure record, one oncological treatment timeline that either holds up at a qualifying tier or doesn't.

SettLiT surfaces that individual picture at scale: structured health data across every claimant in your docket so qualification and tier decisions are grounded in verified diagnosis, treatment, employment, and lab results — not intake narratives alone. AFFF dockets at this volume have already been processed through SettLiT for filing deadline preparation.

Orange briefcase icon above client information for John Doe, including client ID, address, case type, and date of birth placeholder.

Confirm the Diagnosis and Career

AFFF qualification turns on three records that have to align: a qualifying cancer diagnosis, a documented occupational exposure history, and a treatment record sufficient to support tier placement. Claimants rarely arrive with all three intact at intake — many cannot fully account for the agencies they served under, and prior PFAS testing often does not exist.

SettLiT surfaces the cancer diagnosis from claims data, the firefighter and military service record from background data, and PFAS biomarker results from lab networks — including new testing where no prior result exists — before retrieval begins.

Orange briefcase icon above client information for John Doe, including client ID, address, case type, and date of birth placeholder.

See It Before Defense Does

AFFF defense teams are well-resourced and have moved through bellwether trials with a clear playbook: look for prior cancer history, alternative occupational exposures, smoking and lifestyle factors, family history of the qualifying cancer, and gaps in the documented firefighting career. With bellwether outcomes shaping settlement tiers across the docket, the cases that survive scrutiny are the ones where plaintiff counsel saw the full record first.

SettLiT gives your team the same visibility into the claimant's medical, employment, and biomarker history that defense will eventually obtain. Identify complicating factors early.

Orange briefcase icon above client information for John Doe, including client ID, address, case type, and date of birth placeholder.

Why Firms Use SettLit For AFFF Litigation

SettLiT data has been used in AFFF litigation, supporting proof of injury in active MDL cases. As courts become familiar with digital health data, the evidentiary path is becoming more standardized.

digital health DATA First

Surface qualifying cancer diagnoses, oncology treatment history, and PFAS biomarker results before retrieval begins.

Provider discovery

Identify oncologists, urologists, endocrinologists, surgical centers, and treatment facilities across the claimant's care history.

structured medical outputs

Receive ICD-10–coded diagnoses, procedure codes, lab values, and treatment timelines in formats built for AFFF litigation workflows.

Targeted retrieval enablement

Focus retrieval on the oncology and surgical providers most likely to produce records that advance the case.

Scalable docket workflows

Process thousands of AFFF claimants with the same rigor you would apply to one. AFFF dockets have already been processed at this scale for filing deadline preparation.

Integration Ready Infrastructure

Built on Marble's standards-based health data infrastructure. API and portal access. Integrates with Filevine and Smart Advocate.

Testmonials

Results from our
partners experience

“This is so simple, it eliminates the need for faxing, emailing, or mailing requests—everything is handled automatically through the system.”

Mass Tort Firm

Attorney

"We recently transitioned to a different AI platform and we have used it for less than a month, but it's not great. So, I think we're trying to explore other options, and this looks incredible."

Personal Injury Practice

Paralegal

“48 hours is amazing. We're not used to that at all."

Personal Injury Practice

Attorney

"I mean, this is a dream come true... Because it's so hard to get medical records. And now there's this database where you can get them in minutes or days."

Personal Injury Firm

Litigator

"Yeah, they are complex. One of the reasons that it's nice to see it all at a glance because this is taking me a lot longer just to get about a quarter of the data. So this is pretty awesome... Yeah, nice to see it in real time, you know, give me information that I just had no idea about."

Personal Injury Firm

Attorney

Get the medical clarity you need to qualify claims faster.

Centralize retrieval, normalize medical data, and cut time-to-evaluation dramatically.
See Settlit in Action
SettLIT client dashboard showing medical data and AI toolbox for client John Doe with medical providers, conditions, and treatments summary.