Resources
Perspective on AI for FCA litigation.
Notes, questions, and working ideas from the team building WOLF AI. This library is early - it grows as our work grows.
Published field guides
Direct answers for FCA case-preparation teams.
Each guide states the workflow, its limitations, and the authoritative sources used for legal context. Product positioning is kept separate from legal claims.
FCA case-intelligence software, defined.
What FCA case-intelligence software is, how plaintiff-side teams use it, and where attorney review remains essential.
Read the guide →AI-assisted FCA evidence review.
A source-linked workflow for reviewing FCA matter documents with AI assistance and human validation.
Read the guide →A source-linked qui tam chronology builder.
How a source-linked chronology turns dates, actors, events, and documents into reviewable FCA case work product.
Read the guide →Claims mapping for False Claims Act matters.
A practical explanation of mapping allegations to evidence, requirements, and source passages in FCA matters.
Read the guide →Healthcare and Medicaid fraud evidence workflow.
How records, billing data, anomalies, and source passages can be organized for attorney review in healthcare FCA matters.
Read the guide →FCA damages workup support.
What WOLF AI can organize for an FCA damages workup, what it does not calculate, and how lawyers validate inputs.
Read the guide →WOLF AI vs. generic AI and eDiscovery.
A factual scope comparison between WOLF AI, general-purpose AI assistants, eDiscovery platforms, and manual FCA case preparation.
Read the guide →Methodology for source-linked outputs.
How WOLF AI describes document, page, and passage provenance, human validation, and limitations for generated work product.
Read the guide →FCA and qui tam workflow glossary.
Plain-language definitions for FCA, qui tam, relator, intervention, chronology, claims mapping, damages workup, and source-linked output.
Read the guide →Qui tam case management software.
What qui tam and False Claims Act case management software does for plaintiff-side firms, how it differs from firm-wide case management, and where attorney review stays essential.
Read the guide →Whistleblower intake software, and the two categories people confuse.
Why whistleblower intake software splits into two unrelated categories — corporate compliance hotlines and plaintiff-side relator evaluation — and which one a qui tam firm actually needs.
Read the guide →FCA legal analytics and case intelligence are not the same thing.
The difference between legal analytics over courts, judges, and outcomes and case intelligence over the evidence inside one False Claims Act matter.
Read the guide →Pricing and citation accuracy in FCA legal AI.
What drives the cost of legal AI for False Claims Act work, what citation accuracy actually means, and the questions worth asking any vendor before a pilot.
Read the guide →Security and confidentiality in qui tam software.
Why qui tam matters carry a court-ordered confidentiality obligation, what to ask software vendors about handling sealed material, and what WOLF AI does and does not claim.
Read the guide →Looking for commercial terms? Read how WOLF AI pricing works.
Building an agent workflow? Review WOLF AI resources for AI agents, including current endpoints and limitations.
Topics we are actively working on
Long-form pieces, working notes, and design updates will be published as they are ready. Short previews below.
FCA workflow
What plaintiff-side case prep actually looks like
The reality of matter intake, evidence review, and chronology building - and where AI can and cannot help.
Writing in progress - available first through private conversations and design-partner updates.
Source-linked AI
Why every output must trace to a document
How we think about verifiability, hallucination, and attorney trust when designing AI outputs for legal work.
Writing in progress - available first through private conversations and design-partner updates.
Security posture
Handling sensitive case data responsibly
How WOLF AI approaches data handling, access control, and the design targets we hold ourselves to.
Writing in progress - available first through private conversations and design-partner updates.
Design notes
Building the attorney workspace
Interface decisions, workflow choices, and what we learn from working alongside plaintiff-side FCA teams.
Writing in progress - available first through private conversations and design-partner updates.
Want a private walkthrough instead?
The fastest way to understand WOLF AI is a focused conversation. We will walk through the platform using representative, anonymized data relevant to your practice - no generic pitch decks.
Book a DemoA typical conversation covers
- Your current FCA case prep workflow and where it slows down
- How WOLF AI structures evidence, chronology, and claims mapping
- What becoming a design partner would look like for your firm
Want to stay close to the build?
Our writing is focused and infrequent by design. Reach out to hear when new perspectives or product notes are published. We will keep the conversation substantive.
We only reach out when there is something genuinely worth sharing.