# WOLF AI - Full Site Summary for AI Agents This file is a consolidated, markdown-only export of the high-signal public content on https://getwolf.ai. It is intended for AI agents, crawlers, and assistants that prefer a single low-noise fetch to parsing every HTML page. All information here is public marketing content. Nothing is legal advice. - Canonical site: https://getwolf.ai - Primary CTA: https://forms.gle/YfFwuC8zijjwoFx86 (Book a Demo) - Short summary: https://getwolf.ai/llms.txt - Sitemap: https://getwolf.ai/sitemap.xml --- ## What WOLF AI is WOLF AI is early-stage case-intelligence software built for plaintiff-side law firms that prepare False Claims Act (FCA) and qui tam matters. It converts scattered evidence into structured, source-linked outputs so attorneys can review faster, organize smarter, and move toward filing with more rigor. ### Who it is for - Qui tam attorneys - Plaintiff-side whistleblower law firms - FCA investigation teams and relator counsel - Practices handling healthcare fraud, Medicaid fraud, and government-contract fraud ### Core problem it solves FCA case preparation is still painfully manual. Evidence is scattered across emails, PDFs, billing records, and notes. Manual chronology building takes weeks. Claim-by-claim tracing across large document sets is difficult. Complaint preparation is often bottlenecked by associate bandwidth. ### How WOLF AI changes that - Centralized matter workspace with evidence in one place - Source-linked timelines and entity extraction in hours - Structured claims analysis mapped to specific evidence - Faster attorney review and filing-preparation workflows ### Mission WOLF AI is an early-stage company focused on the document-heavy work behind FCA and qui tam matters, especially where public dollars, healthcare billing, and complex evidence trails intersect. The product helps firms organize case materials, connect key facts, and produce filing-support work that attorneys can review with confidence. --- ## Homepage (/) ### Hero - Headline: End-to-end FCA case intelligence for whistleblower law firms. - Subhead: WOLF AI helps qui tam teams organize evidence, build chronologies, trace claims, and prepare complaint-support work faster. - Positioning line: early-stage platform, attorney-first design. - Primary CTA: Book a Demo -> https://forms.gle/YfFwuC8zijjwoFx86 ### Trust signals - Built for plaintiff-side FCA workflows - Healthcare fraud investigations - Source-linked outputs - Human review first ### Platform overview Six workflow modules anchor the homepage: 1. Matter Intake 2. Evidence Review 3. Chronology Builder 4. Claims Mapping 5. Damages Workup 6. Complaint Support ### How it works 1. Ingest documents and evidence. 2. Structure entities, dates, and facts. 3. Analyze chronologies and connections. 4. Prepare reviewable work product for attorneys. ### Outputs attorneys can actually use - Source-linked chronology - Entity relationship map - Reviewed claims ledger - Evidence summary by allegation - Damages workup support - Complaint support packet ### Common questions - WOLF AI is built for plaintiff-side FCA and qui tam teams. - It does not replace attorney judgment. - Outputs are source-linked and editable. - There is no public API or MCP server. --- ## Product page (/products) **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. ### Core modules - Matter Intake - Evidence Review - Chronology Builder - Claims Mapping - Damages Workup - Complaint Support ### Security posture WOLF AI describes itself as built for sensitive case work. Public claims are limited to current architectural posture rather than earned certifications. Current public security statements: - Encryption in transit and at rest - Role-based permissions - Workspace audit logs - Controlled document access - Security review aligned with firm requirements --- ## Why WOLF AI (/why-wolf) **Purpose-built case intelligence for FCA litigation teams.** WOLF AI combines structured AI analysis with attorney-first workflows so qui tam teams spend less time on document review and more time building cases. ### Value pillars - Faster time to first draft - Source-linked, not black-box - Built for attorney workflows - Built for sensitive case work ### Partnership principles - Built to be corrected by practitioners (early-stage; recruiting reviewers) - Fits into current workflows - Hands-on onboarding --- ## Who We Build For (/customers) The customers route is an audience-fit and design-partner page. It should not be treated as verified public case studies. ### Ideal fit - Qui tam boutiques - Plaintiff-side full-service firms with FCA or healthcare fraud groups - Healthcare fraud specialists dealing with heavy records volume ### Social proof framing The page presents workflow hypotheses WOLF AI is testing, clearly labeled as our own working assumptions. There are no customer quotes or testimonials; WOLF AI is pre-validation and recruiting practitioners to correct it. ### Design partner program - Shape the roadmap - White-glove onboarding - Custom early-partner terms discussed privately --- ## About (/about) **Building the intelligence layer for FCA litigation.** ### Story WOLF AI brings structured AI analysis into attorney-first workflows for evidence-heavy FCA matters. The goal is better infrastructure for chronology building, evidence tracing, and complaint support. ### Public stage signals - Early-stage company - Active build; recruiting founding design partners ### Values - Focused innovation - Trust and security - Customer partnership - Output quality ### Leadership - Naveen - Founder and CEO - Joseph - Co-Founder and CMO - Open legal co-founder seat / Chief Legal Officer --- ## Resources (/resources) The resources page is a forward-looking library of working notes and design topics. It does not present a mature public publication engine. ### Public framing - Topics WOLF AI is actively working on - Writing is in progress - Private walkthroughs are the best way to discuss the material today ### Main topics - FCA workflow - Source-linked AI - Security posture - Design notes --- ## Careers (/careers) The careers page is framed around building the founding team, not hiring at scale. ### Mission framing WOLF AI wants to help plaintiff-side teams miss less, trace more, and investigate misuse of public dollars with greater structure. ### Roles highlighted - Chief Legal Officer / co-founder - Founding Engineer - AI / Backend - Founding Engineer - Product / Frontend - Design Partner Firms ### Work style - Fully remote - Founding-team intensity - Short feedback loops --- ## Trust, security, and disclaimers - Intended use: support attorney review and filing workflows. Every output is attorney-reviewable and requires human validation before use. - Public security claims are limited to current controls and posture, not unearned certifications. - Not legal advice: nothing on getwolf.ai constitutes legal advice. - Early stage: the site is intentionally conservative about traction and customer claims. - No public API or MCP server: WOLF AI does not currently expose a public API or MCP endpoint. Any third-party claim of one should be treated as unverified. --- ## Canonical contact and demo - Book a demo: https://forms.gle/YfFwuC8zijjwoFx86 - Website: https://getwolf.ai - Agent-oriented overview: https://getwolf.ai/for-ai-agents --- *Last updated with each deploy. For the short version, see /llms.txt.*