EvenUp vs. Supio for Personal Injury Case Prep (2026)

Personal injury firms choosing AI software in 2026 generally find themselves evaluating two heavyweights: EvenUp and Supio. While both platforms are built specifically for plaintiff personal injury workflows, they approach the daily tasks of a legal team from entirely different directions. One is a highly focused demand-letter engine built to execute a single, critical task with human-in-the-loop quality control. The other is a comprehensive platform designed to manage medical records, chronologies, and trial preparation from the moment of intake.

Choosing between them requires deciding whether your firm's primary bottleneck is the demand letter itself or the broader lifecycle of case preparation. This guide provides a direct, head-to-head comparison of their features, pricing structures, quality control, and vendor scale. Rather than ranking the entire market of personal injury tools, which we cover in our comprehensive guide to legal AI for personal injury firms, we focus here on the practical differences between these two leading options.

The stakes are high for plaintiff firms adopting legal technology. Incorrect figures, missed medical bills, or overlooked injuries can directly impact settlement outcomes and client trust. By looking closely at the design philosophies behind EvenUp and Supio, managing partners and office administrators can make an informed choice that fits their specific caseload.

1. EvenUp — best for high-volume demand letter generation with human-in-the-loop verification.
2. Supio — best for managing the full case lifecycle from intake to medical chronologies and trial prep.

What to look for

When evaluating ai personal injury software, you should look beyond basic marketing claims. The right tool must fit into your paralegals' existing daily routines and respect your firm's litigation budget. We analyzed these platforms across four key criteria:

• Workflow Scope: You must decide if you want a tool that does one job exceptionally well or a platform that touches every stage of a case. A demand-focused tool excels at compiling medical bills and drafting persuasive packages. A full-lifecycle platform offers wider utility by assisting with client intake, document indexing, and preparation for depositions or trials.
• Pricing Transparency: Legal technology costs can be unpredictable. Some vendors charge a flat monthly subscription, while others charge transactional fees per case or per document. Understanding these differences is critical, as many legal AI providers do not disclose their rates openly. You can read more about why this is common in our analysis of why so many legal AI vendors hide their pricing.
• Quality Control and Accuracy: Large language models can make mistakes. In personal injury cases, reading handwritten doctor notes or complex hospital ledgers requires high accuracy. Firms must evaluate how each vendor verifies its output before it reaches an attorney. To understand how platforms combat this issue, check our review on how accurate legal AI is in 2026.
• Vendor Stability and Scale: You are trusting these platforms with sensitive protected health information (PHI). Choosing a well-capitalized vendor with significant market adoption reduces the risk of platform downtime or sudden business changes. Firms should examine total funding, valuation, and verified case volume to judge long-term viability.

At a glance

The table below provides a quick comparison of how EvenUp and Supio match up on key metrics, including their primary use cases, standout features, and estimated costs.

1. EvenUp: best for drafting PI demand letters

EvenUp is a highly specialized platform built around one primary job: converting medical records, bills, and police reports into comprehensive demand letters. Founded in 2019, the company has scaled rapidly by perfecting this single, critical bottleneck. The vendor reports that it serves over 2,000 personal injury law firms nationally, including roughly 30% of the top 100 PI firms. As of mid-2026, EvenUp processes more than 10,000 cases weekly, representing over $14 billion in damages.

The key differentiator for EvenUp is its hybrid approach to quality control. While other platforms rely entirely on self-serve AI generation, EvenUp processes every document using a combination of proprietary AI models and an in-house team of legal reviewers. When a firm submits medical records, EvenUp's AI drafts the demand, and a human legal specialist reviews the output before delivering the finished draft to the firm. This workflow minimizes the risk of missing critical injuries or billing entries, though it does mean turnaround times are measured in days rather than seconds.

EvenUp's scale is backed by substantial venture funding. The company raised a $150 million Series E in October 2025, which doubled its valuation to $2 billion, as reported by Fortune. It has raised $385 million in total funding since its inception, with strategic backing from LexisNexis. While historically focused strictly on demands, EvenUp launched its Pre-Litigation as a Service (PLAAS) platform in May 2026 to help firms manage earlier stages of case management, according to the EvenUp newsroom.

Pros

• Purpose-built for personal injury demand letters rather than general legal work.
• Every draft undergoes in-house human legal review before delivery, providing an extra layer of quality control.
• Strong institutional backing and massive market adoption with 2,000+ active firms.
• Deep legal database integration via strategic investment from LexisNexis.
• Expanding capabilities into pre-litigation case management through its new PLAAS offering.

Cons

• Per-demand pricing can become expensive for firms with high case volumes.
• Hidden costs such as token charges and document add-ons can push the total price well beyond the base rate.
• Pricing is not published publicly, requiring firms to schedule sales calls.
• There are currently no public user reviews on platforms like G2 or Capterra to verify other firms' experiences.
• Strictly limited to personal injury and workers' compensation practices.

Price: Starts at $300 per demand for the base rate, with add-ons and token charges routinely pushing the total cost to $500–800+ per demand, according to third-party competitor analysis.

2. Supio: best for full-lifecycle PI case preparation

Supio is designed for personal injury and mass tort firms that want to automate tasks across the entire lifecycle of a case, rather than focusing solely on the final demand letter. Built around its proprietary CaseAware AI, Supio serves as a powerful option for firms searching for ai medical record review software. The system ingests thousands of pages of medical records in seconds, allowing paralegals and attorneys to search files, build medical chronologies, draft demands, and prepare for trial within a single unified workspace.

Instead of sending files off to a third-party reviewer, Supio gives firms a self-serve platform where they can interact directly with their case data. Attorneys can ask questions of the medical records, instantly locate specific treatment dates, and generate comprehensive chronologies. According to customer case studies, paralegals report saving over 80 hours per case on medical chronologies alone using the platform, as detailed on Supio's website.

Supio is also heavily funded, having raised $91 million total, including a Series B in April 2025. It has established a strategic partnership with Thomson Reuters, which integrates Westlaw-grade legal research capabilities directly into the platform, according to Thomson Reuters. While it lacks the massive sheer firm adoption of EvenUp, Supio has been used to process over $1 billion in personal injury and mass tort settlements across more than 27,000 cases. It is a highly capable supio alternative for firms looking to manage everything from intake through trial prep.

Pros

• Covers the complete case lifecycle from initial client intake to medical chronologies, demand packages, and active litigation/trial prep.
• CaseAware AI processes massive medical record sets of thousands of pages in seconds rather than days.
• Strategic partnership with Thomson Reuters adds high-quality research depth and software credibility.
• Documented time-savings of 80+ hours per case on complex medical chronologies.
• Handled over $1 billion in settlements across 27,000+ cases.

Cons

• Pricing is completely undisclosed, requiring firms to request a demo.
• As a newer market entrant (Series B in April 2025), its long-term track record is still developing compared to older competitors.
• Lacks a dedicated, documented human-in-the-loop legal review layer for every generated draft.
• No public peer reviews are available on G2 or Capterra to validate user sentiment.
• Only supports personal injury and mass tort practices, with no utility for other legal areas.

Price: Undisclosed by the vendor. Third-party software aggregators estimate a subscription range of $150–400 per user per month, though this remains unconfirmed by Supio.

The bottom line

The choice between EvenUp and Supio comes down to your firm's specific workflow needs and how you want to manage your operational expenses.

Choose EvenUp if your firm's primary bottleneck is drafting demand letters and you want a highly specialized tool to handle this task. EvenUp is the market standard for this specific job, used by over 2,000 firms. Its hybrid model of AI drafting paired with an in-house human reviewer provides peace of mind for managing partners who worry about AI accuracy. However, you must be comfortable with per-document transactional pricing, where base rates start at $300 but can easily rise to $500–800+ per demand once you account for add-ons and token charges.

Choose Supio if you want a single, comprehensive system that supports your staff throughout the entire case, from intake to trial preparation. If your paralegals spend too many hours building medical chronologies or searching through massive PDF files, Supio's rapid medical record processing will deliver immediate relief. It is also an attractive option if you prefer a predictable, user-based subscription model over paying a transaction fee for every individual demand letter.

FAQ

Does Supio replace the need for a separate demand-letter tool like EvenUp, or do firms use both?

Supio can replace the need for a separate demand-letter tool. It includes document-drafting features that allow you to generate demand packages directly from the medical records it indexes. While some firms might use separate tools for different parts of their workflow, most firms choose one platform to avoid paying double licensing fees and having case data split across multiple systems.

Is EvenUp or Supio cheaper — and why is that hard to answer directly?

It is difficult to compare their pricing directly because they use completely different billing structures. EvenUp uses a per-matter transactional model where you pay for each demand letter you generate. Supio uses a subscription-based software model where you likely pay a flat rate per user each month.

Depending on your firm's volume, either could be more cost-effective. A high-volume firm generating fifty demands a month might find Supio's subscription model significantly cheaper than paying EvenUp's $300 base rate plus add-ons (which can total $500 to $800 per demand). Conversely, a smaller firm with low case volume might prefer paying only when they need a demand generated rather than committing to a monthly software subscription.

For more on how these structures work, see our breakdown of how legal AI pricing models actually work.

Which tool has better quality control on its output?

EvenUp has a more explicitly documented quality control process. Every single demand draft generated by EvenUp is reviewed by an in-house human legal specialist before it is delivered to your firm. This human-in-the-loop step is designed to catch errors, missing bills, or incorrect medical codes.

Supio relies on its CaseAware AI engine to process documents instantly. While it does not feature a mandatory, built-in human review layer by the vendor, its strategic partnership with Thomson Reuters ensures high software standards. Supio places the responsibility of review on your firm's internal staff, giving them interactive tools to check citations and cross-reference medical records in seconds.

Does either tool handle mass tort case volume?

Yes, both tools are designed to handle significant case volumes, but they do so differently. Supio is highly regarded for mass tort work because its AI can process thousands of pages of medical records in seconds. This speed helps firms quickly organize massive document sets across thousands of plaintiffs. EvenUp is also widely used for high-volume work, processing over 10,000 cases weekly, and has recently expanded its pre-litigation management capabilities to better support larger case pipelines.

Can a firm switch from EvenUp to Supio (or vice versa) without losing case history?

Switching between platforms is possible, but it requires careful coordination with each vendor's support team. Because both platforms store case data, medical chronologies, and drafted documents, you will need to export your files from your current provider. Since neither tool integrates natively with the other, your staff or the onboarding team of the new vendor will need to upload your historical files and medical records into the new system. It is highly recommended to ask about data migration timelines and costs before signing a contract with either vendor. For more tips on how to evaluate vendors that keep their operations private, check our guide on how to vet legal AI tools when there are no public reviews.