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

Thousands of Roundup Claimants. Each One Needs Individual Medical Proof.

Digital health intelligence that scales with your glyphosate docket

Roundup litigation has produced some of the largest mass tort verdicts in history, and the dockets are still growing. Claimants allege that years of glyphosate exposure caused non-Hodgkin’s lymphoma (NHL), a diagnosis that carries significant medical complexity and a care history that rarely presents cleanly at intake.

Oncologists. Hematologists. Infusion centers. Radiation facilities. The treatment record for NHL can span years and multiple institutions, and claimants often cannot account for the full picture of who treated them or where.

By the time a firm commits to a Roundup case, the medical foundation should already be visible. SettLiT makes that possible.

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 Roundup Dockets
Operationally Demanding

Roundup litigation requires firms to substantiate a diagnosis, document a treatment history, and establish a credible exposure timeline across a claimant population that spans agricultural workers, landscapers, and residential users. The medical record is the foundation of every case, and at intake, it is almost never complete.

inCOMPLETE INTAKE NARRATIVES

Claimants diagnosed with non-Hodgkin’s lymphoma often received care across oncology practices, hospital systems, and infusion centers over years of treatment. Reconstructing that history from a phone intake is unreliable and leaves critical gaps firms discover too late.

SLOW MEDICAL RECORD RETRIEVAL

Without knowing which oncologists, hematologists, and treatment facilities are part of the claimant’s care history, retrieval cannot begin. Identifying the right providers takes weeks before a single record is ordered.

CAPITAL DEPLOYED TOO EARLY

Firms invest in case workup before confirming the NHL diagnosis and treatment history are verifiable. Cases that cannot be substantiated still absorb the cost of that commitment.

LATE LITIGATION
SURPRISES

Defense uncovers prior diagnoses, alternative causation arguments, or treatment inconsistencies that plaintiff counsel was never aware of. In a litigation environment shaped by prior verdicts and a well-resourced defense, those surprises carry significant strategic cost.

Build the Medical Foundation Before You Build the Case

The firms building the strongest Roundup dockets are not starting with retrieval. They are starting with intelligence: structured health data that tells them whether the diagnosis and treatment history support the case before resources are committed.

1
Intake Narrative
Initial claimant information including reported exposure history and known diagnosis.
2
Digital Health Intelligence (SettLiT)
Structured health data surfaced early, including NHL diagnosis confirmation, oncology and hematology treatment history, provider network, and the medication history consistent with cancer care.
3
Targeted Record Retrieval
Retrieval focused on the oncologists, treatment centers, and facilities most likely to produce records that advance the case.
4
Litigation Strategy and Case Development
SettLiT does not replace medical record retrieval. It makes retrieval narrower, more targeted, and more strategic.

What SettLiT Surfaces in Roundup Cases

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

These may include:

Claims data returns Non-Hodgkin's lymphoma diagnoses confirming the qualifying injury before case commitment

Laboratory and pathology reporting when available

Provider discovery identifies oncologists, hematologists, and treatment facilities across the claimant's care history

Non-Hodgkin’s lymphoma diagnoses and related hematological conditions

Mapping Data to Roundup Eligibility

Roundup claims require proof of exposure and Non-Hodgkin's lymphoma diagnosis. SettLiT maps directly to the evidentiary requirements:

Direct Contact with Roundup/Glyphosate for 2+ years

Background check returns address history in agricultural regions (California, Iowa, Nebraska, Kansas) supporting occupational or residential exposure

Diagnosed with Non-Hodgkin's Lymphoma

Claims data returns ICD-10 codes (C82-C86) for all NHL subtypes confirming the qualifying diagnosis

Oncology Treatment History

Provider discovery identifies treating oncologists and treatment facilities before manual retrieval begins

Claimant-Level Oncology Intelligence at Scale

Roundup dockets can run into the thousands. But qualification still depends on one claimant's specific NHL diagnosis, one oncological care history, one treatment timeline that determines whether the case qualifies and at what tier.

SettLiT surfaces that individual picture at scale: structured health intelligence across every claimant in your docket so qualification and tier decisions are grounded in verified data rather than what claimants remember from intake.

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

Confirm the Diagnosis Before You Commit

Firms that begin retrieval and case preparation without first establishing what the medical record contains absorb both the administrative burden and the risk of late-stage discoveries that require strategy to be rebuilt.

SettLiT surfaces structured oncological intelligence early so teams understand what they are working with before resources are deployed. More complete case workups from the start. Less administrative effort during the retrieval phase. Faster movement from qualification to case strategy and resolution.

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

Why Mass Tort Firms Choose SettLit For Roundup Case Qualification

digital health intelligence First

Understand the oncological history before committing to case workup.

Provider discovery

Surface the full network of oncologists, hematologists, and treatment facilities relevant to each claim.

structured medical outputs

Clean, structured data in formats built for litigation workflows and team review.

Targeted retrieval enablement

Focus record requests on the providers and cases with the strongest evidentiary foundation.

Scalable docket workflows

Consistent qualification processes across hundreds or thousands of claimants.

Integration Ready Infrastructure

Built on Marble's standards-based health data infrastructure for reliable, secure connectivity.

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

Build a Stronger Roundup Docket with SettLiT

Surface the NHL diagnoses, oncology history, and provider relationships your claimants carry before you commit capital to their cases.
See Settlit in Action
SettLIT client dashboard showing medical data and AI toolbox for client John Doe with medical providers, conditions, and treatments summary.