InQuery Alternatives
When you're evaluating InQuery alternatives, personal injury and medical malpractice firms usually land on the same question: which platform actually covers the full arc of the work, from getting records out of providers through turning them into case-ready insights? InQuery offers AI-powered medical record review and now also offers retrieval, and plenty of plaintiff firms are weighing it against platforms built specifically around litigation workflows. This guide walks through the top InQuery alternatives, with particular focus on how Codes Health delivers a comprehensive, integrated retrieval and analysis platform purpose-built for plaintiff firms, working toward complete records in a couple of weeks rather than months.
Key Takeaways
Codes Health is a leading InQuery alternative, combining medical record retrieval with AI analysis, human verification, and flat fee pricing in one integrated platform
InQuery has expanded beyond review into retrieval, so the comparison now turns on workflow depth and plaintiff-specific insights rather than retrieval versus analysis
Same-day retrieval services often deliver incomplete records, which, according to Codes Health, pulls clients back into the process and contributes to churn
Authorization validation before submission heads off the rejection-driven delays that stretch traditional retrieval timelines
General AI tools like ChatGPT are not designed for litigation-grade medical record review, while specialized legal-medical AI platforms deliver the precision case building requires
Case management integration reduces context switching and keeps a single operational record for each matter
Codes Health reports 1.7x larger settlements among firms using the platform, a company-reported customer outcome rather than an independent benchmark
Understanding InQuery and Why Firms Look at Alternatives
InQuery provides AI-powered medical record review focused on chronology generation and document summarization, and its current materials also list medical record retrieval, covering records, bills, and related documents returned as organized, deduplicated sets. The platform serves legal teams across multiple practice areas with SOC 2 Type II security certification and a human QA layer available for reviewed outputs.
InQuery's core strength is turning medical records into litigation-ready chronologies with source-linked citations, which matters when defense counsel starts pulling at your damages documentation.
InQuery's Primary Strengths
AI-powered chronology generation with human review available
Source-linked citations for litigation defensibility
SOC 2 Type II certification for security compliance
Medical record, bill, and document retrieval alongside review
PDF and Excel export options plus API access
Why Plaintiff Firms Look Elsewhere
With retrieval now on both sides of the comparison, the question shifts to how deep each platform goes. Plaintiff firms need insights tuned to their specific litigation needs. Breach-of-care detection, future medical expense extraction, pre-existing condition identification, and causation evidence matter more than general document summarization when you're valuing a case or preparing a demand.
Completeness is the other differentiator. Receiving records is not the same as receiving complete records, and firms increasingly want a platform that verifies what came back against what was requested, then goes after the gaps. Authorization validation before submission belongs in that same category, since a rejected request restarts a clock nobody has time to restart.
A Note on Same-Day Retrieval Claims
Some platforms in this space market same-day or instant retrieval. According to Codes Health, those services generally pull only from providers reachable through direct digital connections, which means partial records arrive fast and the rest still have to be chased. Case managers end up identifying gaps and submitting follow-up requests, and clients get pulled back into a process they hired the firm to handle. Codes Health says that added client involvement is a meaningful driver of churn, and it takes the opposite approach, working toward complete, verified record sets in a couple of weeks.
1. Codes Health
Codes Health is a comprehensive, integrated retrieval and analysis platform purpose-built for plaintiff law firms. Founded in 2024 by MIT and Yale graduates, Codes Health is backed by Y Combinator, General Catalyst, Haystack, Night Capital, and Pathlight Ventures. The platform handles the entire workflow from provider outreach through verified, complete record sets with extracted case insights.
Why Codes Health Stands Apart:
Codes Health covers the arc from initial request through case-ready insights. It pursues records through claims clearinghouses, patient portals, custodian integrations, fax, email, and phone outreach. Persistent follow-up keeps requests moving, and completeness verification compares returned materials against the original request to identify gaps before the retrieval is closed out.
Key Codes Health Capabilities:
Complete medical record retrieval: multi-channel outreach with persistent follow-up across every provider communication method
AI-powered case chronologies: automated organization and summarization grouped by encounter for efficient review
Breach-of-care detection: flags departures from standards of care for attorney review in medical malpractice matters
Future medical expense extraction: surfaces documented projected treatment costs essential to damages calculation
Pre-existing condition identification: surfaces prior injuries and conditions relevant to causation arguments
Missing Record Review: completeness verification against the original request so gaps do not surface at trial
Human verification: medical and legal specialists validate AI findings before delivery
Plaintiff-Specific AI Features:
Where general review platforms focus on chronology output, Codes Health extracts what plaintiff attorneys need for case evaluation and demand preparation:
Treatment gaps and missed appointments relevant to compliance defenses
Pain levels and functional limitations supporting damage claims
Provider statements on causation connecting injuries to incidents
Evidence supporting damages, including lost wages and care costs
Treatment patterns showing progression or resolution of conditions
Authorization Quality Assurance
Incomplete authorizations are a leading cause of denied requests. Missing patient signatures, unclear expiration dates, or unchecked boxes for sensitive records can force a resubmission and add time to your timeline. The federal HIPAA right of access generally requires a response within 30 days, and some states set shorter windows. Codes Health's AI review catches these errors before submission, automatically flagging misspellings, missing dates of service, and signature issues that would otherwise cause provider rejections.
Continuous Platform Evolution
Codes Health's MIT-educated engineering team continuously builds out additional workflows and products, ensuring the platform constantly evolves, improves, and becomes more comprehensive to meet the changing demands of modern legal practices.
Filevine Integration
In July 2026, Codes Health launched a native Filevine integration. Requests can be initiated, tracked, and returned inside the case file, so Filevine users manage the whole retrieval and analysis process in their existing case management environment with no separate portals, manual uploads, or duplicate data entry.
Reported Outcomes:
Codes Health reports the following customer outcomes: 80% less manual review time, 50% more case capacity, and 1.7x larger settlements. These are company-reported results rather than independent benchmarks, and individual outcomes vary by case type, firm workflow, and matter complexity.
Customer Perspective
One managing partner noted that requests that used to take months now come back in a fraction of the time. Another firm reported that on matters requiring records from 9 to 10 different providers, Codes Health tracked every request independently while the case manager focused on client service rather than chasing records.
Pricing Model
Codes Health operates on flat fee per case pricing, which removes the per-page cost surprises common with usage-based systems. For high-volume customers, Codes Health can build custom integrations with CRM platforms and other legal and medical software to streamline operations at scale.
Best For
Personal injury firms want complete retrieval and analysis from one vendor
Mass tort practices manage high case volumes with consistent workflows
Medical malpractice attorneys who need breach-of-care detection
Workers' compensation firms seeking future medical expense documentation
Any plaintiff firm looking to compress a months-long retrieval timeline into a couple of weeks
2. InQuery
InQuery provides AI-powered medical record review and now also offers retrieval, covering medical records, bills, and related documents returned as organized, deduplicated sets. Its analysis side centers on chronology generation and document summarization for legal teams.
InQuery Platform Features:
AI chronology generation and document summarization
Medical record, bill, and document retrieval
Human QA available for reviewed outputs
Source-linked citations for litigation defensibility
SOC 2 Type II certification, plus PDF and Excel export and API access
Target Market: Legal teams across multiple practice areas that want an AI-powered review with documented human oversight, now with retrieval available in the same relationship.
Pricing: InQuery describes its pricing as page-based. Firms should confirm current terms directly with InQuery.
Best For: Firms that want an AI review with source-linked citations and are comfortable confirming how far the retrieval offering extends for their provider mix.
3. Tavrn
Tavrn positions itself as a complete personal injury workflow platform, bundling client intake, record retrieval, chronology generation, and demand letter drafting into one subscription.
Tavrn Platform Features:
Client intake scoring and qualification
Medical record retrieval services
AI-generated chronologies
Demand letter automation
Integrations with Filevine, Clio, SmartAdvocate, CASEpeer, and Litify
Target Market: Personal injury firms wanting a single platform covering intake through demand letter generation.
Pricing: Tavrn publishes medical retrieval pricing starting at $299.99 per month for 20 requests. Firms should confirm current terms, including any overage charges, directly with Tavrn.
Best For: Firms with consistent monthly case volumes that want subscription pricing and bundled workflow tools.
4. EvenUp
EvenUp specializes in AI-generated demand letters that fold settlement and verdict data into damages arguments. With $150 million in Series E funding, the platform is well established in the demand generation space.
EvenUp Platform Features:
Purpose-built demand letter generation through its AI Drafts Suite
Verdict and settlement data integrated for damages substantiation
Expert-reviewed tier available for high-stakes demands
Integrations with major case management platforms
Target Market: Firms with established retrieval workflows that want AI-powered demand letter generation.
Pricing: EvenUp uses case-based pricing. Firms should contact EvenUp for current pricing.
Best For: Firms that have records and analysis handled but want demand letter generation backed by verdict and settlement data.
5. Supio
Supio, backed by a Thomson Reuters partnership, emphasizes rapid chronology generation with turnaround measured in minutes to hours rather than days.
Supio Platform Features:
CaseAware AI for cross-case intelligence in mass tort matters
Voice-based client intake through Supio Voice
Westlaw connection through the Thomson Reuters partnership
Fast processing for document organization
Target Market Mass tort practices handling large plaintiff portfolios where cross-case intelligence and rapid document triage add value.
Pricing: Contact Supio for pricing specific to your practice.
Best For: Mass tort firms needing rapid processing of records already in hand, with cross-case pattern recognition.
6. Wisedocs
Wisedocs offers AI medical chronologies with expert clinical review, source-linked records, and document organization, serving insurers, third-party administrators, and law firms.
Wisedocs Platform Features:
AI medical chronologies with expert clinical QA
Medical insights extraction with source links back to the page
Document organization and sorting
API capabilities for enterprise workflows
SOC 2 Type II certification
Target Market: Organizations wanting structured medical document processing with clinical review built into the output.
Pricing: Contact Wisedocs for current pricing.
Best For: Firms wanting chronologies with clinical QA. Note that Wisedocs focuses on review rather than retrieval.
7. DigitalOwl
DigitalOwl focuses on medical record extraction and summarization, with strong adoption among insurers and larger legal organizations. Now part of Datavant, the platform is becoming ChartSwap Insights, bringing retrieval and analysis together rather than remaining review-only.
DigitalOwl Platform Features:
Medical summaries, chronologies, and legal-specific insights
Retrieval and analysis are being connected through the Datavant transition
SOC 2 Type II security controls
Self-service option for legal users alongside enterprise implementation
Target Market: Insurance and legal organizations wanting document processing, increasingly alongside connected retrieval.
Pricing: DigitalOwl offers self-service and enterprise options. Firms should consult its current pricing page or sales team.
Best For: Organizations with high-volume operations that want extraction and summarization, with retrieval coverage worth confirming as the platform transition progresses.
Why General AI Tools Fall Short for Medical Record Analysis
Some firms experiment with general-purpose AI like ChatGPT for medical record analysis. These tools are capable at plenty of language tasks, but they are not designed for litigation-grade medical record review.
Where General AI Runs Into Trouble:
No medical-legal training: general models are not built for medical-legal documentation and can misread clinical terminology and abbreviations
Accuracy risks: generic models can produce plausible-sounding but inaccurate summaries with no flag that anything went wrong
No litigation context: identifying care gaps relevant to liability, or extracting insights supporting a specific legal theory, is outside what these tools reliably do
Compliance questions: consumer AI platforms raise real questions around handling protected health information
No workflow integration: copy-paste between case files and AI tools introduces errors and wastes time
Why Specialized Platforms Matter:
Defense attorneys and expert witnesses will scrutinize AI-generated analysis. Codes Health pairs AI efficiency with legal-grade accuracy through specialized training on medical-legal documentation and human verification by medical and legal professionals, producing insights built to hold up under litigation scrutiny.
Making the Right Choice for Your Firm
Now that retrieval and review increasingly appear on both sides of this comparison, the deciding factor is depth: how thoroughly a platform verifies completeness, validates authorizations, and extracts insights tuned to plaintiff case building.
Codes Health fits firms that want retrieval and plaintiff-specific analysis under one flat fee, with authorization validation heading off rejection delays, Missing Record Review catching gaps before trial, breach-of-care detection, and future medical expense extraction feeding damages work, and native Filevine integration keeping everything inside the case file.
InQuery suits teams that want AI review with source-linked citations and human QA available, and now retrieval in the same relationship, with the scope of that retrieval worth confirming against your provider mix.
Review-focused platforms like Wisedocs and Supio deliver strong processing, Wisedocs with clinical QA and Supio with cross-case intelligence for mass tort portfolios, though retrieval stays a separate problem to solve.
Workflow platforms like Tavrn bundle intake, retrieval, chronologies, and demand tools on a subscription, while EvenUp concentrates on demand letter generation backed by verdict and settlement data.
DigitalOwl, transitioning to ChartSwap Insights under Datavant, is connecting retrieval and analysis, so firms should confirm what coverage is live for their matters today.
If your firm is coordinating multiple vendors, tracking timelines across systems, and absorbing per-page pricing uncertainty, consolidation is where the efficiency is. Request a demo to see how Codes Health handles complete records and case-ready insights for your practice.
Frequently Asked Questions
What makes Codes Health different from InQuery?
Both platforms now offer retrieval and AI review, so the difference is depth and focus. Codes Health is built around plaintiff litigation, delivering breach-of-care detection, future medical expense extraction, and pre-existing condition identification alongside Missing Record Review that verifies completeness against the original request. Its AI-powered authorization validation heads off submission errors, human verification supports litigation-ready accuracy, and pricing is a flat fee per case.
How long does medical record retrieval take with Codes Health?
Codes Health works toward complete records in a couple of weeks rather than the months typical of traditional retrieval. Its AI validation catches authorization deficiencies before submission, heading off the delays provider rejections cause, and persistent follow-up across fax, email, phone, and portal channels keeps requests moving.
Why do same-day retrieval services often require client involvement?
According to Codes Health, same-day services typically retrieve only from providers reachable through direct digital connections, so anything outside those connections needs additional outreach, and that follow-up work often lands on the client. Codes Health says this contributes to churn, and it focuses instead on delivering verified, complete record sets in a couple of weeks.
Can I use Codes Health with my existing case management system?
Codes Health offers native integration with Filevine, embedding retrieval and analysis directly into the case management workflow. For high-volume firms on other platforms, Codes Health can build custom integrations with CRM systems and other legal and medical software.
Why shouldn't I use ChatGPT or other general AI tools for medical record analysis?
General AI models are not designed for litigation-grade medical record review. They are not trained on medical-legal documentation, so they can misread clinical terminology, miss care gaps relevant to liability, and produce summaries without verifiable citations. Codes Health's specialized AI delivers the precision case building required, with human verification supporting accuracy that holds up under defense scrutiny.
