# InQuery

> AI medical record review, chronology, and summary platform for personal injury law firms, insurance carriers, IME providers, IRO teams, and MSP consultants. Source-linked, attorney-ready, SOC 2 Type II compliant.

Last updated: 2026-08-17

## About InQuery

- [InQuery Homepage](https://www.inquery.ai/): AI medical record review and chronology software for legal and insurance teams
- [Product Overview](https://www.inquery.ai/product): The workspace itself — document indexing, case summaries, medical chronologies, structured key facts, billing summaries, and record completeness
- [Security](https://www.inquery.ai/security): HIPAA, SOC 2 Type II, encryption, audit logging
- [Get Started](https://www.inquery.ai/get-started): Request a demo or pilot

## Who InQuery Serves

- [Plaintiff Law Firms](https://www.inquery.ai/for/plaintiff-firms): The complete pre-litigation demand package — records retrieved, source-linked chronology built, medical specials itemized, and the demand drafted
- [Carriers and TPAs](https://www.inquery.ai/for/carriers-tpas): One evidence layer for complex claims — records requested and organized, the medical timeline reconstructed, bills matched to treatment, and gaps named before the next decision
- [Medical-Legal Service Providers](https://www.inquery.ai/for/service-providers): Review-ready record sets and configurable structured outputs for IME, MSA, life care planning, legal nurse consulting, and cost containment workflows
- [Who We Serve](https://www.inquery.ai/who-we-serve): Full audience overview across law firms, carriers, TPAs, self-insured employers, and IME teams

## Services

- [All Services](https://www.inquery.ai/services): AI-enabled medical record review services for law firms, carriers, TPAs, and self-insured employers
- [Record Retrieval](https://www.inquery.ai/services/record-retrieval): Retrieves medical records, bills, and related documents and returns them sorted, indexed, and deduplicated, with a list of what is still missing
- [Medical Record Indexing](https://www.inquery.ai/services/medical-record-indexing): Rebuilds flattened record productions into organized document sets, with boundaries detected, duplicates collapsed, and every record sorted and tagged by provider and date
- [Medical Record Summarization](https://www.inquery.ai/services/medical-record-summarization): Turns indexed record sets into executive summaries and source-linked medical chronologies
- [Expert Witnesses](https://www.inquery.ai/services/expert-witnesses): Connects cases with the right medical and technical experts, from independent medical exams to record reviews and testimony, each working from a structured, source-linked view of the case

## Common Questions About InQuery

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**How does InQuery's AI-powered medical record review work?**
Upload your case files (PDFs, scanned records, etc.) by 4 PM, and our AI processes them overnight. By 9 AM the next business day, you'll have fully indexed, tagged, and summarized records ready for review, with human-in-the-loop quality assurance.

**Is InQuery HIPAA compliant and SOC 2 certified?**
Yes. InQuery is HIPAA-compliant with a Business Associate Agreement (BAA) available. We're SOC 2 compliant. We handle PHI with bank-level encryption and access controls.

**What is InQuery's pricing model?**
We charge a flat per-page fee with volume discounts. No implementation costs, no onboarding fees. Just transparent, usage-based pricing.

**Can I customize how documents are tagged and summarized?**
Yes. Tags, summary length, and content focus are fully customizable. Configure different formats for workers' comp, personal injury, or disability claims. InQuery adapts to your workflow.

**What's the ROI of using AI-powered medical record review software?**
Clients report 70% reduction in document prep time, 3x faster case resolution, and ability to handle volume surges without new hires. Average payback period is less than 90 days.

**How are medical records organized and sorted?**
Documents are automatically indexed by date, type (progress notes, imaging, labs, billing), provider name, and facility. You can sort, filter, or group records by year, document type, or custom tags.

## Comparisons

- [CaseFleet vs InQuery for Medical Chronologies and Case Timelines](https://www.inquery.ai/vs/inquery-vs-casefleet): InQuery auto-generates source-linked medical chronologies with human QA. CaseFleet is litigation fact-management software you operate. Compare the two models for PI work.
- [DigitalOwl vs InQuery for Medical Record Review and Chronologies](https://www.inquery.ai/vs/inquery-vs-digitalowl): InQuery builds source-linked, attorney-ready medical chronologies with human QA. DigitalOwl grew up in insurance and underwriting. Compare fit for PI legal work.
- [EvenUp vs InQuery for Demand Letters and Medical Chronologies](https://www.inquery.ai/vs/inquery-vs-evenup): InQuery delivers source-linked medical chronologies with mandatory human QA. EvenUp generates AI demand letters. Compare features, pricing, and fit.
- [Legalyze vs InQuery for AI Medical Record Review and Chronologies](https://www.inquery.ai/vs/inquery-vs-legalyze): InQuery pairs AI chronologies with a mandatory human QA layer and serves both plaintiff and defense. Legalyze is a lean, fast self-serve AI tool. Compare the fit.
- [Supio vs InQuery for AI Medical Chronologies in PI Cases](https://www.inquery.ai/vs/inquery-vs-supio): InQuery produces source-linked medical chronologies with mandatory human QA for both plaintiff and defense. Supio is a broad plaintiff-side AI platform. Compare fit.
- [Tavrn vs InQuery for PI Medical Chronologies and Record Retrieval](https://www.inquery.ai/vs/inquery-vs-tavrn): InQuery delivers source-linked medical chronologies with mandatory human QA, for plaintiff and defense. Tavrn bundles retrieval, intake, chronologies, and demands. Compare.
- [Wisedocs vs InQuery for Claims Medical Record Review](https://www.inquery.ai/vs/inquery-vs-wisedocs): InQuery produces source-linked, attorney-ready medical chronologies with human QA for both sides. Wisedocs is claims-first medical record review. Compare fit for PI work.

## Medical Chronologies

- [How to Find the One Fact That Decides a Case in Medical Records](https://www.inquery.ai/post/finding-key-facts-medical-records-claim-files): The fact that decides a claim is often on a single page of a massive file. Here is how AI-powered medical record review helps teams surface it faster.
- [How to Scale Defensible Demand-Package Review Without Adding Headcount](https://www.inquery.ai/post/scale-demand-package-review-without-headcount): In auto and GL cost containment, the real bottleneck isn't the legal nurse's clinical judgment. It's the hours of package assembly that come before it.
- [What Makes a Strong Medical Chronology: Quality and AI Guide](https://www.inquery.ai/post/what-makes-a-strong-medical-chronology-ai): Learn the elements of a defensible medical chronology — completeness, accuracy, source-linking, and how AI ensures every standard is met for PI litigation.
- [AI Medical Chronology in Workers' Compensation Cases: 2026 Guide](https://www.inquery.ai/post/ai-medical-chronology-workers-comp-cases): Learn how AI medical chronology tools handle workers' comp cases — treating vs. IME physicians, MMI determinations, return-to-work docs, and more.
- [Medical Chronology Workflow for PI Attorneys: Intake to Verdict](https://www.inquery.ai/post/medical-chronology-intake-to-settlement-workflow): A step-by-step guide to the medical chronology workflow for personal injury cases — from client intake and record retrieval through demand and settlement.
- [Medical Chronology to Demand Letter: The AI Workflow for PI Firms](https://www.inquery.ai/post/medical-chronologies-demand-letters-ai-workflow): Learn how medical chronologies feed directly into AI demand letters. See the workflow PI firms use to turn medical records into defensible settlement demands.
- [AI Medical Chronologies for Nursing Home Abuse and Neglect Cases](https://www.inquery.ai/post/ai-medical-chronology-nursing-home-cases): Learn how AI medical chronologies strengthen nursing home abuse and neglect cases. Covers record challenges, pattern detection, and tools for elder litigation.
- [Medical Chronology Examples and Samples for PI Attorneys (2026)](https://www.inquery.ai/post/medical-chronology-examples-samples-personal-injury): See complete medical chronology examples for auto accident, slip-and-fall, workers' comp, and med mal PI cases. Sample tables, common mistakes, and AI tools.
- [Medical Chronology Services vs Software: Costs, Workflow, Top Tools](https://www.inquery.ai/post/medical-chronology-software-vs-services): Compare costs and features of medical chronology services and software, discover generation workflows, and review leading platforms for legal teams.
- [AI Tools for Legal Medical Chronology: Comparison and Features](https://www.inquery.ai/post/ai-tools-legal-medical-chronology-comparison): Compare 7 top AI platforms for legal medical chronologies, including features, pricing, speed, accuracy, compliance, and suitability for law firms.
- [Medical Chronology Templates: Free Samples + AI-Powered Alternatives for 2026](https://www.inquery.ai/post/chronology-templates): Free medical chronology templates and samples for legal and insurance professionals. Compare manual templates vs. AI-powered tools for 2026. Download Excel templates and learn best practices.
- [AI Medical Chronology Platforms for Record Retrieval Comparison](https://www.inquery.ai/post/ai-medical-chronology-platforms-comparison): Compare top AI medical chronology tools for lawyers and insurers, covering features, costs, security, automation, and gap detection in record workflows.

## Medical Summaries & Review

- [The Hidden $2 Billion Problem in Workers' Comp Claims: Missing Medical Records](https://www.inquery.ai/post/missing-records-data-management-2025): Discover how missing medical records cost workers' comp $2B annually, with experts wasting 30-40% of time on detective work instead of claims analysis.
- [How Long Do Hospitals Keep Medical Records? Retention Laws by State](https://www.inquery.ai/post/medical-records-retention-laws-by-state): How long must hospitals and physicians keep medical records? A state-by-state guide to retention laws, with the governing statute for all 50 states and DC.
- [Introducing Live Indexing: Fully Automated Medical Record Indexing](https://www.inquery.ai/post/announcing-live-indexing-medical-records): Live Indexing reads every page of a medical record production, finds document boundaries, collapses duplicates, and makes the whole set filterable within hours.
- [What Is Medical Record Intelligence and Why the Medicolegal Field Needs It](https://www.inquery.ai/post/what-is-medical-record-intelligence): Medical Record Intelligence turns thousands of pages of raw records into structured, source-linked facts that IMEs, MSA experts, and attorneys can defend.
- [AI Ethics for Medical Record Summarization: Attorney Rules and Risks](https://www.inquery.ai/post/ai-ethics-medical-record-summarization): Attorney ethics for AI medical record summaries: competence under Rule 1.1, confidentiality, supervision duties, and how to verify AI outputs.
- [AI Medical Record Tools: HIPAA & Data Security for Law Firms 2026](https://www.inquery.ai/post/ai-medical-record-tools-hipaa-data-security-2026): What PI law firms need to know before adopting AI medical record tools: HIPAA BAAs, SOC 2, LLM data retention risks, and key vendor security questions.
- [Law Firm AI Policy for Medical Records: HIPAA, Oversight & Due Diligence](https://www.inquery.ai/post/law-firm-ai-policy-medical-records): Build a defensible law firm AI policy for medical record tools: HIPAA accountability, attorney oversight, vendor due diligence, and data handling rules.
- [Why ChatGPT and General AI Fall Short on Medical Record Review](https://www.inquery.ai/post/why-general-ai-falls-short-medical-record-review): ChatGPT and general AI tools lack the source-linking, HIPAA controls, and QA layers that PI law firms need for medical record review. Here is where they fail.
- [What Is AI Medical Record Review? A Complete Guide for PI Attorneys](https://www.inquery.ai/post/what-is-ai-medical-record-review): AI medical record review automates sorting, extraction, and summarization of medical records for PI cases. Learn how it works and how to choose a platform.
- [Personal Injury Settlement Amounts by Case Type: AI's Role](https://www.inquery.ai/post/personal-injury-settlement-amounts-ai-documentation): See average personal injury settlement amounts by case type—car accidents, TBI, slip-and-fall—and learn how AI-assisted documentation directly affects payout levels.
- [AI Demand Letter Case Studies: 4 PI Firms Tell What Actually Changed](https://www.inquery.ai/post/ai-demand-letter-case-studies-pi-firms): Four anonymized PI firms walk through how they adopted AI demand letter workflows in 2024-2025 — what changed, what surprised them, what they got right.
- [AI Medical Record Summary Results: Case Studies and Outcomes](https://www.inquery.ai/post/ai-medical-record-summary-case-studies-results): Real-world results from AI-assisted medical record summaries in personal injury cases—time savings, accuracy benchmarks, settlement outcomes, and firm case studies.
- [Medical Summaries for MSA and Medicare Set-Aside Review](https://www.inquery.ai/post/medical-summary-msa-medicare-set-aside-review): Learn how AI-powered medical summaries improve Medicare Set-Aside accuracy, reduce CMS rejection risk, and cut review time for personal injury attorneys.
- [AI Medical Record Review Accuracy: How to Measure and Compare](https://www.inquery.ai/post/ai-medical-record-review-accuracy-benchmarks): How do you measure AI medical record review accuracy? This guide covers extraction benchmarks, error types, and how to evaluate platforms for PI and legal work.
- [Personal Injury Demand Letter Examples: Templates & AI Samples](https://www.inquery.ai/post/demand-letter-examples-samples-personal-injury): Explore real personal injury demand letter examples — from car accidents to slip-and-fall cases — plus AI-generated templates attorneys can adapt immediately.
- [AI Demand Letters vs. Manual Drafting: Cost, Time, and ROI Data](https://www.inquery.ai/post/ai-demand-letter-vs-manual-drafting-cost-time): See the real cost and time data behind AI demand letters versus manual drafting. Includes ROI models for solo, mid-size, and high-volume PI firms.
- [How to Write a Personal Injury Demand Letter With AI in 2026](https://www.inquery.ai/post/how-to-write-personal-injury-demand-letter-ai): Learn how to write a personal injury demand letter with AI. Covers structure, medical records, damages calculation, and the tools that speed up the process.
- [Medical Record Summary Mistakes That Reduce PI Case Value in 2026](https://www.inquery.ai/post/medical-record-summary-mistakes-personal-injury-cases): Personal injury attorneys lose case value from avoidable medical record summary errors. Learn the 12 most common mistakes and how to fix each one.
- [AI Medical Records Gap Analysis: Find Missing Records Faster](https://www.inquery.ai/post/ai-medical-records-gap-analysis-personal-injury): Learn how AI-powered gap analysis catches missing medical records, treatment gaps, and documentation holes that cost personal injury cases thousands.
- [AI Demand Letter Tools for Personal Injury Lawyers: 2026 Guide](https://www.inquery.ai/post/ai-demand-letter-tools-personal-injury-2026): Compare the best AI demand letter tools for personal injury law firms. See features, pricing models, and how AI turns medical records into stronger demands.
- [How to Evaluate Medical Summarization Platforms: Buyer's Guide (2026)](https://www.inquery.ai/post/medical-summarization-platform-features-evaluation-guide): A practical buyer's guide for evaluating AI medical summarization platforms. Key features, vendor questions, pricing models, and selection criteria.
- [AI Medical Records Sorting, Indexing, and Data Extraction Tools (2026)](https://www.inquery.ai/post/ai-medical-records-sorting-indexing-data-extraction): Compare AI tools for sorting, indexing, and extracting data from medical records. Features, pricing tiers, and integration options for legal teams.
- [Document Review for Personal Injury Attorneys: Medical Records & Bills](https://www.inquery.ai/post/document-review-medical-records-bills-personal-injury): How personal injury attorneys review medical records and bills to build stronger cases, spot billing errors, and calculate damages with AI-powered tools.
- [Best Medical Summary Software for Law Firms Compared in 2026](https://www.inquery.ai/post/best-medical-summary-software-law-firms-2026): Compare top AI medical summary platforms for law firms. Side-by-side features, pricing, and selection criteria for your practice.
- [Medical Summaries and Damage Specials for PI Lawyers with AI](https://www.inquery.ai/post/medical-summaries-damage-specials-ai-personal-injury): How personal injury lawyers use AI medical summaries to build damage specials faster, with step-by-step workflows, platform comparisons, and cost breakdowns.
- [What Is a Medical Chronology? Definition and Example](https://www.inquery.ai/post/what-is-a-medical-chronology): Learn what a medical chronology is, how it's structured, who uses it, and see a clear example. Understand how chronologies differ from summaries.
- [Medical Summary Examples: Sample Templates, Formats, and AI Tools (2026)](https://www.inquery.ai/post/medical-record-summary-guide-ai): See real medical record summary examples, sample tables, formats by case type, and learn how AI tools generate attorney-ready summaries faster.
- [Independent Review Organizations and the Role of Technology](https://www.inquery.ai/post/iros-automation-2025): Explore how Independent Review Organizations use AI to streamline medical record organization, enhance physician workflows, and accelerate case decisions.
- [What It Takes to Build a Secure Platform and What It Means for You](https://www.inquery.ai/post/building-security-2025): Learn how InQuery achieved HIPAA and SOC 2 Type I certifications through encryption, access controls, and continuous audits for healthcare data security.

## Adjusters & Carriers

- [Medical Summary Mistakes That Drive Claims Leakage for Adjusters](https://www.inquery.ai/post/adjuster-medical-summary-mistakes-claims-leakage): Poor medical summaries quietly drain carrier reserves. See eight summarization mistakes that drive claims leakage — and how adjusters catch each one.
- [Medical Summary Software ROI for Insurance Carriers: 2026 Analysis](https://www.inquery.ai/post/medical-summary-software-roi-insurance-carriers): Calculate ROI on AI medical summary software for insurance carriers in 2026 — claims-leakage prevention, reserves accuracy, hours saved, and payback period.
- [Medical Record Summary Software for Adjusters & Carriers: 2026 Comparison](https://www.inquery.ai/post/medical-record-summary-software-adjusters-carriers-2026): Compare AI medical record summary software for insurance adjusters and carriers in 2026: InQuery, Wisedocs, DigitalOwl, and Supio. Accuracy, speed, defensibility.
- [AI Medical Record Review for Bodily Injury Claims: 2026 Guide](https://www.inquery.ai/post/ai-medical-record-review-bodily-injury-claims): How AI medical record review helps adjusters standardize bodily injury claim decisions — faster analysis, consistent outcomes, and lower dispute rates.
- [What One Insurance Executive's AI Journey Reveals About Enterprise Adoption](https://www.inquery.ai/post/insurance-ai-adoption-lessons-ramp-playbook): An insurance ops leader's AI journey mapped against Ramp's hypergrowth playbook. What translates, what doesn't, and how to move in the next 90 days.

## IMEs

- [The Complete Guide to Automating Medical-Legal Paperwork With AI](https://www.inquery.ai/post/automating-medical-legal-processes-2025): Learn how AI helps IME vendors, claims teams, and attorneys reduce paperwork time 50%, automate data extraction, and streamline medical-legal workflows.
- [The Top 10 Questions IME Providers Ask About AI](https://www.inquery.ai/post/ime-ai-questions-2025): Discover how AI helps IME physicians review medical records, organize data, and generate reports while maintaining clinical judgment and legal defensibility.

## MSP Consultants

- [How MSP Firms Can Leverage AI-Powered Document Processing Engines](https://www.inquery.ai/post/msp-automation-benefits-2025): Discover how MSP consultants use AI to automate MSA allocations, reconcile payments, and generate CMS-ready proposals—cutting turnaround from 7 days to 1-2.

## Technology & Security

- [Build vs Buy Medical Record AI: How to Shortlist the Right Vendor](https://www.inquery.ai/post/build-vs-buy-medical-record-ai): Should you build medical record AI in-house or buy it? Compare cost, speed, and control, plus the criteria buyers actually use to shortlist vendors.

## Other

- [State Funds: Making Medical Record Review Measurable and Auditable](https://www.inquery.ai/post/state-funds-grants-2025): Learn how state funds use AI-powered tools to transform manual record review into measurable, auditable workflows that enhance transparency and compliance.
- [InQuery Joins InsurTech NY's 2026 Match Program](https://www.inquery.ai/post/insurtech-ny-2026-match-program): InQuery is one of 10 companies in InsurTech NY's 2026 Match Program, connecting insurtechs with carriers, brokers, and investors across claims and legal work.
- [AI Legal Writing Tools for PI Firms: Strategic Integration Guide](https://www.inquery.ai/post/ai-legal-writing-tools-pi-firms-strategic-guide): How PI firms should integrate AI writing tools — what AI handles, what attorneys must own, and how to train your team without sacrificing quality.
- [A New Chapter for InQuery](https://www.inquery.ai/post/a-new-chapter-for-inquery): InQuery is launching a refreshed brand, a redesigned website, and a commitment to sharing more useful resources for insurance and legal professionals.
- [AI Demand Letter Settlement Outcomes: What the Data Shows](https://www.inquery.ai/post/ai-demand-letter-settlement-outcomes-case-data): Vendor-neutral analysis of settlement outcomes from AI-assisted demand letters. What the published data shows — and how to interpret it for your practice.