The complete FCA case intelligence platform.
From document intake to complaint support, WOLF AI provides structured, source-linked outputs at every stage of case preparation.
Six modules. One workflow.
Each module produces structured, source-linked outputs that feed into the next.
Matter Intake
Input
Medical records, billing exports, emails, internal memos and scanned handwritten notes — as PDFs. Scanned pages are OCR’d on the way in.
One structured matter workspace with every document tagged by source, date, entity, and custodian.
Why attorneys care
Eliminates the first week of associate time spent sorting evidence before review can even begin.
Capabilities
- Secure document upload
- Automatic tagging and organization
- PDF ingestion with OCR (CSV and DOCX on the roadmap)
- Structured matter workspace
Matter file
Sorted by source, date, and entity on upload.
Representative anonymized output.
Read the field guide for each module
Longer-form workflow detail, worked examples, limitations, and the public sources behind each one.
WOLF AI Matter Intake
Matter Intake organizes a False Claims Act matter’s PDFs — medical records, billing exports, correspondence, memos, and scanned paper handled with OCR — into one workspace where every document is tagged by source, date, entity, and custodian rather than identified only by a filename.
FCA case-intelligence software, definedWhat FCA case-intelligence software organizes, and where it stops.
WOLF AI Evidence Review
Evidence Review surfaces candidate passages, entities, dates, and billing references across the matter’s documents and presents each one with the document, page, and passage it came from, so a reviewer opens the record instead of trusting a summary.
AI-assisted FCA evidence reviewThe source-linked review workflow, and the recall problem it cannot see.
WOLF AI Chronology Builder
Chronology Builder assembles dates, events, and actors into an editable timeline where every entry names its source document and page, and where two records disagreeing on a date stay as two flagged entries rather than being resolved automatically.
A source-linked qui tam chronology builderHow conflicting dates are surfaced rather than silently resolved.
WOLF AI Claims Mapping
Claims Mapping connects each proposed allegation to the passages, actors, transactions, and requirements counsel considers relevant, and marks the allegations with nothing attached — usually the most useful thing on the page.
Claims mapping for False Claims Act mattersTying allegations to passages — and marking the ones with nothing behind them.
WOLF AI Damages Workup
Damages Workup organizes a candidate population of claim lines, payments, and transactions with its exclusions, duplicates, and stated assumptions written down beside it, as reviewable input for a qualified expert. It does not determine legally recoverable damages.
FCA damages workup supportWhat is organized for an expert, and what is never calculated.
WOLF AI Complaint Support
Complaint Support assembles the chronology, claims map, damages inputs, and supporting passages into one organized packet for counsel. It does not draft the complaint, and every theory and filing decision stays with the legal team.
Methodology for source-linked outputsWhat provenance does and does not guarantee about a generated statement.
Why are the modules shaped this way?
Each module exists because of a constraint the record or the rules impose on you, not because it rounded out a feature list.
Of the more than $6.8 billion in False Claims Act settlements and judgments the Department of Justice reported for fiscal year 2025, over $5.7 billion related to matters involving the health care industry, restoring funds to programs including Medicare, Medicaid, and TRICARE.
Source: DOJ: False Claims Act settlements and judgments exceed $6.8B in fiscal year 2025
Federal Rule of Civil Procedure 9(b) requires that a party "must state with particularity the circumstances constituting fraud or mistake." In practice that is what turns an FCA matter into a document-organization problem: the allegation has to name specific claims, dates, and actors, each traceable to a record.
Source: Federal Rule of Civil Procedure 9(b): pleading fraud with particularity
A qui tam complaint is filed in camera and, under 31 U.S.C. § 3730(b)(2), "shall remain under seal for at least 60 days" and is not served on the defendant until the court so orders. Courts routinely extend that period, so the confidentiality obligation on the record set is measured in months or years, not weeks.
Built for sensitive case work
WOLF AI is designed for encrypted storage, permissioned access, and auditable review workflows. We describe current controls plainly during demos and do not represent certifications or attestations before they are earned.
Firms with specific compliance requirements: we walk through our current controls, deployment approach, and roadmap during the demo.
What we do not claim
- Not SOC 2 certified, no audit completed
- No HIPAA attestation
- No independent penetration test yet
We would rather be trusted for what is true than impressive about what is not. When any of this changes, the security page changes with it, and not before.
Read the security pageSee the platform in action
Book a focused walkthrough using representative case data relevant to your practice.
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