In personal injury, precision and accuracy are everything. While AI models trained on generic data can handle some tasks, the complexity of drafting high-quality demand letters requires much more than automation alone. Relying solely on AI for demands can be great for speed and efficiency but can also be borderline malpractice. As good as the models currently are, critical details are still likely to be missed, ultimately leading to delays and undervalued claims. A single oversight in capturing injuries, medical expenses, or lost income can cost claimants thousands of dollars—or more.
At EvenUp, we combine AI with expert human review to deliver unmatched precision and care. Our proprietary AI, Piai™, is trained on hundreds of thousands of personal injury cases and works alongside a world-class team of over 100 legal experts, including lawyers, medical professionals, and paralegals.
Together, they draft thousands of demands and medical chronologies every week. While a lawyer may handle hundreds of cases, a plaintiff typically has just one—and that case can shape their future. We recognize the immense responsibility this carries, and by leveraging our two-layered approach, we do all we can to best ensure every plaintiff gets the justice they deserve. This quality extends across all our products, including Demands™, Medical Chronologies, and the Claims Intelligence Platform™.
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Piai™, EvenUp’s AI, is built on hundreds of thousands of injury cases and millions of medical records, enhanced by in-house legal and medical expertise. Unlike off-the-shelf solutions, Piai™ is designed specifically for personal injury law, using specialized models for data extraction, parsing, and categorization—all with expert human review to ensure maximum accuracy. This combination helps customers work smarter, settle cases faster, and achieve fairer settlements.
Piai™ is SOC2 and HIPAA certified, ensuring the highest standards of security and compliance. Piai™ can be broken down into 3 key areas:
When comparing EvenUp’s Piai™ to the off-the-shelf models commonly used by vendors, such as OpenAI's GPT-4, the performance and outcome differences in personal injury cases are substantial. Not only does Piai™ excel in the key areas below, but it also consistently outperforms across the dozens of critical tasks required for personal injury cases. Here are three examples of where Piai™ surpasses GPT-4:
To put this into perspective, missing just 20% of bills across 100 cases—each with an average impact of $5,000—can result in over $100K in lost claim value per attorney. Don’t be swayed by the initial price tag; the real cost of relying on inaccurate AI can far surpass the AI’s upfront expense. EvenUp helps eliminate this problem, ensuring that all relevant bills are captured and maximizing the claim value for every case. This highlights the critical need for precision in personal injury demands. We strongly recommend approaching AI vendors with a thoughtful, critical mindset when selecting a partner for your demand letters and other legal needs.
Unlike AI-only solutions, we believe that human expertise is still essential for producing highly accurate demand letters. The demand generation process is complex, and relying solely on large language models (LLMs) is not currently a dependable solution, especially in fields like personal injury law, where quality is everything. LLMs are fast and adept at summarizing and formatting information, but these generative models often still struggle with data extraction and categorization, especially when dealing with extensive documentation. They can miss subtle but crucial details that only trained experts can catch. Imagine missing an invasive treatment because ChatGPT was the only solution leveraged by a firm. This one error would be detrimental to the outcome of a case. By integrating EvenUp’s human expertise with AI, we catch these errors and deliver precision and accuracy far exceeding what LLMs alone can achieve.
Our experts work alongside our proprietary personal injury AI (Piai™), ensuring high-quality and accurate outputs while maintaining strict quality control. This two-layer approach delivers superior results and significant time savings for your firm. We take pride in the exceptional outcomes our internal teams produce, helping our clients secure better results for their customers.
We’ve built a dedicated team of over 100+ skilled professionals, including medical professionals, paralegals, adjusters, case managers, and lawyers, who review, redraft, and refine thousands of demands and medical chronologies each week.
In 2020, EvenUp pioneered AI-powered demand packages, and today we are the leader in personal injury AI and document generation, having delivered ~100,000 demand packages and medical chronologies in our history. Our flagship product, Demands™, is part of our comprehensive Claims Intelligence Platform™, designed to deliver unmatched accuracy and the most comprehensive damage estimates, including pain and suffering based on 200k+ verdicts, lost income, and future medical expenses.
With faster delivery times and expert human review, our tailored demand packages help maximize claim value and hit policy limits more frequently. Unlike competitors, who often overlook critical elements and damages, our approach ensures no detail is missed.
Our data shows that EvenUp demands are 69% more likely to achieve policy limit settlements, with a statistically significant advantage at the 99% confidence level. Our damage-focused demands increase case outcomes by thousands of dollars per claim and save firms an estimated $100,000 per attorney each year by reducing errors and boosting efficiency.
As Urik Gilavian, Founding Attorney of Pinnacle LLP, puts it: “I trust your AI because you internally review demands before they come to me. When I’ve done my reviews, I don’t think I’ve ever found a major error.”
“What we used to do manually, EvenUp now does for us. Whether it’s a chronology or a demand, these tools save us countless hours.”
- Michael McCready, Managing Partner, McCready Law
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