Investigations and litigation support · For counsel
Statistics, with the particulars.Data analytics for False Claims Act matters, prepared at the direction of counsel, with DOJ’s FOCUS questionnaire in view.
In 2026 the Justice Department set out what it expects of analysis built from public data: named datasets, tested methods, the governing rules, alternative explanations addressed and one well-chosen example with a damages estimate. Marque prepares that analytical record at the direction of counsel: to review a statistical allegation, or to do the diligence before one is made. It also runs forensic investigations for enterprises and lenders.
From Exhibit C. Specimen format. No real matter or provider.
C.2
Specific named datasetsData register
C.3
Model assumptionsAssumptions log
C.5
How accuracy was testedValidation report
C.7
Legitimate alternative explanationsAlternatives memo
C.8
The single best example, with single damagesExample file
Exhibit C, extractIllustrative. Five of the nine headings in our map, with the document Marque prepares against each.
FOCUS announced
April 30, 2026
Questionnaire published
July 17, 2026
Submission limit
10 pages
NoticeMarque Analytics is not a law firm and does not provide legal advice. We work at the direction of counsel.
01
The FOCUS initiative
What DOJ’s FOCUS initiative asks of a statistical allegation.
On April 30, 2026, the Civil Division of the Department of Justice announced the Fraud Oversight through Careful Use of Statistics (FOCUS) initiative.1 DOJ uses the term data miners for those who “analyze publicly available government data for potential signals of fraud” rather than relying on insider knowledge. By DOJ’s count, data miners have filed more than 45% of all qui tam complaints since fiscal year 2024.2
DOJ reports that the government pursued approximately 22% of all qui tams. In the pandemic-loan programs it describes a lower overall success rate for these qui tams relative to cases DOJ originated itself. DOJ notes that the most successful relators have traditionally supplied a “cogent investigative roadmap” of facts to corroborate, witnesses to interview and evidence to obtain. It says the best data miners offer reliable, predictive analyses and a thorough understanding of the legal obligations.2
On July 17, 2026, DOJ published a FOCUS white paper questionnaire. A data miner may submit a paper of no more than 10 pages.3 A meeting with DOJ is optional and is not a pre-filing requirement.2
In fiscal year 2025 DOJ reported $6.888 billion in False Claims Act settlements and judgments, the highest total in the history of the Act. Matters involving health care accounted for about 83% of it.4
2U.S. Department of Justice, FOCUS initiative statement (PDF), April 30, 2026. The statement also notes DOJ’s new National Fraud Enforcement Division, created April 7, 2026.
Why complaints built on billing statistics have been dismissed.
Two appellate decisions, both unpublished, ended qui tams built on billing statistics in dismissal: the Fifth Circuit affirmed a dismissal, and the Ninth Circuit ordered one. Neither court barred statistics. Both said the numbers had not ruled out an obvious lawful explanation, and both left room for statistics paired with particular details of a false claim.
Exhibit B · Two dismissals
Holdings summarized from the slip opinions. Quotations are the courts’ own.
Fifth Circuit · May 28, 2020
U.S. ex rel. Integra Med Analytics, L.L.C. v. Baylor Scott & White Health(5th Cir. 2020)
No. 19-50818, 816 F. App’x 892 (5th Cir. 2020) (per curiam, unpublished). The defendant hospital system prevailed.5
The data
CMS data on how often the hospital system coded major complications and comorbidities.
Held
Dismissal affirmed. The statistics were consistent both with fraud and with the system lawfully moving ahead of the industry under CMS’s 2007 coding changes, “consistent with a legal and obvious alternative explanation.”
Missing
Particularized examples. “No example gives any indication about what makes it a false claim.” Nor facts ruling out documentation improvement that CMS had encouraged.
Left open
The ruling “does not exclude statistical data from being used to meet the pleading requirements,” when the data is paired with particular details.
The Supreme Court denied certiorari on December 7, 2020 (No. 20-581).6
Ninth Circuit · March 31, 2021
Integra Med Analytics LLC v. Providence Health & Services(9th Cir. 2021)
No. 19-56367 (9th Cir. Mar. 31, 2021) (memorandum, unpublished). The defendant health system prevailed.7
The data
Three major-complication (MCC) categories coded about 1.7 times as often as peers (17% vs 10%), controlled for demographics, with the complaint reporting less than a one-thousandth percent chance that the difference was due to chance.
Held
Denial of the motion to dismiss reversed, with dismissal ordered. The allegations failed Rule 8 plausibility because they “do not eliminate an obvious alternative explanation.”
Missing
“Facts tending to exclude the possibility that the alternative explanation is true.” The court quoted CMS: coding for higher payment is not wrong if supported by the medical record.
Left open
The ruling “does not categorically preclude statistical data,” when it is “paired with particular details of a false claim.”
For contrast. In its Integra decision, the Fifth Circuit pointed to U.S. ex rel. Customs Fraud Investigations, LLC v. Victaulic Co., 839 F.3d 242 (3d Cir. 2016), where statistics were paired with an expert declaration, photographs, a witness and shipment records.5
Several signals, read together.
The complaints in Exhibit B were built mainly on a billing rate set against peers, and the examples added to them did not show what made a claim false. A rate like that is where our work starts. We read each entity against ten independent signals, then do the particulars work on the few where several agree.
01020304050607080910Sum
E-010
E-021
E-031
E-041
E-051
E-060
E-072
E-080
E-091
E-102
E-116
E-120
E-132
E-141
Entity E-04
High on one billing measure and quiet everywhere else. This resembles the statistical core of the complaints in Exhibit B.
Entity E-11
Six independent signals on one entity. Particulars work starts here. Each signal still has to be verified and explained.
01Billing intensity vs. peers
02Co-location density
03Shared phones and billing agents
04Registry staleness
05Undisclosed affiliations
06Prior exclusions
07Implausible growth
08Taxonomy mismatch
09Cross-program mismatches
10Enrollment anomalies
Fig. 1Illustrative composite. No real provider depicted. Fourteen entities scored on the ten signals. No fixed number of signals makes a case.
5Fifth Circuit slip opinion, No. 19-50818, May 28, 2020. Victaulic is described at note 19 of that opinion.
7Ninth Circuit memorandum, No. 19-56367, March 31, 2021. The CMS statement quoted by the court is at 72 Fed. Reg. 47,180.
03
The analytical record
How Marque builds the record the questionnaire asks for.
Counsel writes the submission. We prepare the analytical sections and exhibits beneath it, arranged under the questionnaire’s own headings so each answer has a document behind it.
Exhibit C · Questionnaire map
Nine headings paraphrased from the public questionnaire’s 7 questions. Not a DOJ form.
The questionnaire, mapped
What the questionnaire asks for, and the document Marque prepares for counsel against each item.
Schedule Questionnaire item and Marque deliverable
Ref
The questionnaire asks for
Marque prepares
Form
C.1
The type of fraud, the federal program and the geographic scope
A plain statement of the theory, tied to the program, payer, claim types and geography it concerns.
Theory statement
C.2
Specific named datasets
Every source by name, version and date of pull, with the fields used and the joins between them.
Data register
C.3
Model assumptions
Each assumption written down with its effect on the result, including peer definitions and time windows.
Assumptions log
C.4
Subject-matter experts consulted
Program and actuarial review documented, with a note where counsel may want an outside expert.
Review memo
C.5
How accuracy was tested, and other external data that supports it
Run for the matter at hand: backtests, sensitivity runs and a review of possible false positives, reported with their results, favorable or not, and any outside data that corroborates the signal.
Validation report
C.6
The governing statutes and regulations
Each billing pattern set against the program requirement it is said to breach, with citations assembled for counsel’s review.
Rule map
C.7
Legitimate alternative explanations
Case mix, coding guidance, documentation practice and peer selection, each tested and the outcome recorded.
Alternatives memo
C.8
The single best example, distinguished from administrative overpayment, with estimated single damages
One example traced from the data to the rule, with the facts that set it apart from an ordinary overpayment and a single-damages estimate under stated assumptions.
Example file
C.9
Prior qui tams filed, financial ties to the industry, and background and credentials
Handled by counsel; outside Marque’s scope. The data register at C.2 records where every input came from.
Counsel
04
Engagements
Forms of engagement for counsel, enterprises and lenders.
Each engagement is scoped in writing before work begins, with counsel where a matter is or may be in litigation. Each can stand alone or follow from another. For health plans and state program integrity units, see Payment Integrity; payers usually begin with the 10-Day Exposure Assessment.
i.
Review of a statistical allegation
An allegation built on billing statistics, tested at the direction of counsel against the questions DOJ and the courts ask: which datasets, which assumptions, which peer group, and which lawful explanations were left standing.
Typical outputReview memo and re-analysis
ii.
Pre-filing analytical diligence
A theory tested against the data before anything is filed. We name the datasets, state the assumptions, test accuracy, work through the alternative explanations and find the strongest single example. If the theory does not hold, the report says so.
Typical outputDiligence memo for counsel
iii.
Entity resolution and network mapping
One entity recognized across the names and numbers it uses. Owners, officers, addresses, phones and billing agents traced across provider registries, exclusion lists, corporate filings and federal loan records. Our holdings include 9.4 million provider records cross-referenced against federal registries and 11.4 million pandemic-era federal loan records.
Typical outputNetwork map and entity file
iv.
Damages modeling
Claim-level estimates of single damages under assumptions counsel can see and change, with sensitivity ranges. Each figure traces back to the claim lines behind it.
Typical outputDamages model and memo
v.
Expert support and Rule 26 materials
Data lineage, versioned inputs, reproducible results and an account of every assumption, documented so the expert counsel retains can rely on the work and defend it. Prepared for expert reports and disclosures as counsel directs.
Typical outputReproducible analysis package
vi.
Investigations for enterprises and lenders
Forensic data analysis and open-source investigation into counterparties, borrowers and related entities: who owns them, what else they control and what the public record shows.
Typical outputInvestigative report
Principals.
Every mandate is led by a principal named in the statement of work.
John AseltonFounder & Chief Executive Officer
U.S. Naval Academy. Navy officer. Deloitte M&A.
Alex HerbelinChief Technology Officer
U.S. Naval Academy. Navy SOF/EOD veteran. Machine learning, infrastructure and security.
Steve KestenChief Data Officer
Yale mathematics. 14 years of Medicaid actuarial analysis, including managed care.
Daniel ChurchmanOSINT Director
Army infantry veteran. Open-source investigation, case management and legal operations.
Deacon RidleySI/ML Director
Marque Analytics LLC was formed in February 2026.
Terms for counsel
Direction
On matters that are or may be in litigation, Marque works at the direction of counsel. Marque Analytics is not a law firm and does not provide legal advice.
Engagement structure
Retained through counsel on those matters. Whether the work is treated as attorney work product, and whether any of it is disclosed, is counsel’s decision.
Fee
Quoted on mandate, for a defined scope of work
Confidentiality
Mutual NDA executed before any data or specifics change hands
Reply
Within one business day, from a senior member of the firm
Role
Consulting analysis for counsel. Marque supports the testifying expert counsel retains.
Conflicts and data use
Conflicts
Every mandate is checked for conflicts before an NDA is signed.
Data use
Client data, and anything derived from it, is used only for that client’s engagement. Data from payer and agency engagements never enters a matter for counsel.
Access
Access is limited to the engagement staff named in the statement of work. The team is based in the United States.
Close
Data is returned or destroyed at close.
05
Questions
On FOCUS, pleading and damages.
What is the DOJ FOCUS initiative?
FOCUS stands for Fraud Oversight through Careful Use of Statistics. The Civil Division of the Department of Justice announced it on April 30, 2026, to strengthen its work with data miners, those who “analyze publicly available government data for potential signals of fraud” rather than relying on insider knowledge. DOJ says data miners have filed more than 45% of qui tam complaints since fiscal year 2024. A meeting with DOJ is optional and is not a pre-filing requirement.
What does the FOCUS white paper questionnaire ask for?
Published July 17, 2026, it asks for a paper of no more than 10 pages covering the type of fraud and federal program, the specific named datasets, model assumptions, subject-matter experts consulted, how accuracy was tested, the governing statutes and regulations, legitimate alternative explanations, and the single best example of potential fraud as opposed to an administrative overpayment, with estimated single damages. It also asks about the geographic scope, other external data supporting accuracy, prior qui tams filed, any financial ties to the industry analyzed, and the submitter’s background and credentials.
What did the Integra decisions hold?
In the two unpublished Integra Med Analytics decisions (5th Cir. 2020; 9th Cir. 2021), the billing statistics did not eliminate an obvious lawful explanation, so the allegations were not plausible. The Ninth Circuit decided under Rule 8. The Fifth Circuit also found that the complaint’s examples did not show what made a claim false. Neither court barred statistics. Both said statistical data can play a part when it is paired with particular details of a false claim. How those holdings apply to a given matter is a question for counsel, and Marque does not give legal advice.
Does working from public data raise a public disclosure bar question?
It can, and counsel decides how to address it. In U.S. ex rel. Relator, LLC v. Erskine, No. 25-2073 (9th Cir. July 15, 2026) (published), the court held the public disclosure bar did not apply to the relator’s eligibility theory (assuming without deciding that PandemicOversight.gov is a federal report), because the pleaded facts were not substantially the same as its data. It agreed the separate employee-headcount theory was not plausibly pleaded but held leave to amend should have been granted. It reversed and remanded, leaving the relator’s other theories to the district court. Our data register records which inputs are public files and which come from joining, entity resolution and field work, so counsel can assess the question.
How does Marque estimate False Claims Act damages?
At the claim level. We estimate single damages under assumptions written down in advance, show how the figure moves when each assumption changes, and trace every number back to the claim lines behind it. The model and its inputs are packaged so an expert retained by counsel can reproduce them.
06
Request an introduction.
Describe the matter in general terms. A senior member of the firm replies within one business day. We sign a mutual NDA before discussing specifics, and we work at the direction of counsel.
Reply
Within one business day, from a senior member of the firm
Confidentiality
Mutual NDA before any data or specifics change hands
Conflicts
Every mandate is checked for conflicts before an NDA is signed.