AI-Powered Tools for Healthcare Law & Compliance Teams

Yes. All AI inference in Logos AI runs through AWS Bedrock and Google Vertex AI, both of which are covered under Business Associate Agreements (BAAs). Documents are encrypted at rest and isolated per tenant. No patient data is used to train AI models. Logos AI is purpose-built for legal and compliance teams handling protected health information.

Yes. Audit response work is one of the strongest fits for Logos AI. Upload the full response packet — certifications, recerts, IDG notes, F2F encounters, physician narratives, nursing visits, the audit letter itself — as a single case. Document chat lets you interrogate the entire record at once to build the eligibility narrative, surface the chart entries that support coverage, and produce consistent first drafts across pre-payment ADRs and post-payment SMRC/UPIC reviews. The same workflow handles multi-patient, multi-claim audit pulls. We also have a dedicated Medicare Audit Response page that goes deeper on supported audit types (ADR, SMRC, UPIC, MAC, RAC, TPE), letter-of-eligibility drafting, and multi-claim pull workflows — see the Related Practice Areas section below.

Yes. Logos AI produces a strong first draft of the eligibility letter, anchored in citations to the chart and structured around the LCD criteria you provide for the diagnosis under review. The AI surfaces evidence across the full record (including findings buried in nursing notes or progress notes from earlier benefit periods) and ties each finding back to the chart entry that supports it. Your reviewers refine the draft instead of starting from a blank page. Logos does not maintain a built-in LCD/NCD database — your team supplies the eligibility criteria for the specific diagnosis, and Logos helps apply them across the chart.

Yes. While Logos AI is built for legal-grade output (verified citations, audit-ready summaries, defensible drafts), the workflows fit any team that produces document-heavy work product against regulatory standards — audit response firms, in-house healthcare compliance, nurse consultants, and clinical reviewers. The HIPAA-compliant infrastructure means PHI stays protected end-to-end without workarounds. Plans are month-to-month with no annual contract or seat minimum.

Yes. Logos AI uses built-in OCR that handles scanned PDFs, photographed documents, and handwritten clinical notes — including faxed records, imaging reports, and physician handwriting. Once processed, the text is fully searchable and available for AI chat, summarization, and analysis. Audit response packets that arrive as image-only PDFs from the EMR are processed the same way as native digital documents.

Every AI operation — medical record analysis, chat queries, research memos, summarizations, letter drafting — is automatically attributed to the case it was performed in. View a cost breakdown per case in the dashboard or export a detailed CSV report showing each operation, its timestamp, and its credit cost. For healthcare litigation involving extensive medical records or multi-claim audit pulls, this transparency supports both client billing and internal cost accounting.

Logos AI offers 20+ HIPAA-compliant AI models including Claude (Opus, Sonnet, Haiku), Gemini (Pro, Flash), Llama, DeepSeek R1, Mistral, and more. All models run through BAA-covered infrastructure — non-negotiable for healthcare work involving PHI. Choose different models for different tasks: longer-context models for full audit packets, faster models for chat queries, reasoning models for complex eligibility narratives. Plans start at $179.99/month with no annual contracts and no seat minimums.