Transform raw case files into a polished, high-quality demand package. No longer compromise on quality, speed, or convenience.
Cases have a provider gap >30 days
Demands >100 days after last treatment
Missing documents for every 10 demands
*Averages based on a 15 to 20 person firm
“Express Demands is big. AI-driven record review will kill hours of manual work, cutting down attorney drafting time and case manager workload significantly. Getting a comprehensive demand in just minutes is a game changer.”
Ben Limbaugh
Revise and personalize your demand with adaptive AI Edits
Strengthen arguments, rephrase sections, or adjust tone in one click. AI Edits learn from your edits to make future drafts even sharper.
Reduce excess work with case management integrations
Integrate with leading case management platforms to automatically sync case details and get proactive alerts on missing medical bills and records.
Streamline edits and collaboration with version history
Never worry about losing track of edits or changes—every version is tracked, ensuring compliance.
Review comprehensive drafts more likely to hit policy limits
Piai™ is trained on hundreds of thousands of injury cases and millions of medical records to produce accurate and persuasive demands.
Achieve unmatched accuracy with AI built for PI
Piai™ understands messy medical documents and accurately extracts key details from handwriting, diagrams, and faxed pages.
Analyze and verify case details using EvenUp’s AI Assistant
Integrated in Express Demands, Case Companion offers real-time analysis and answers backed by line-level citations across the case lifecycle.
“I appreciate being able to make changes directly in the system. It’s especially helpful to go into a Smart Citation and see exactly which exhibit it came from, down to the line-level. It’s much easier to fine tune details when you know exactly where they came from.”
Maria Ruiz
Completed by Piai™ in minutes.
Created with Piai™ and reviewed by legal professionals.
Express Demands™ leverages EvenUp’s proprietary AI, Piai™, to transform raw case files into polished, high-quality demand packages within minutes. The AI processes and organizes case data, ensuring each demand letter is comprehensive and tailored to your case facts.
Utilizing AI-generated demand letters through Express Demands™ offers several advantages:
Speed – Generate and review demand letters in minutes, accelerating case resolutions.
Customizable – Tailor demands to meet specific requirements, streamlining revisions and collaboration.
Comprehensive – Achieve unmatched accuracy with AI built for PI, increasing the likelihood of hitting policy limits.
Yes, AI demand packages generated by Express Demands™ are highly customizable. You can tailor each demand letter to highlight specific case strengths, address unique circumstances, and adjust the tone and structure to align with case strategies.
Express Demands™ ensures the quality and reliability of its AI-generated demand letters by leveraging EvenUp Demands’ Piai™ technology.
Unlike generic AI solutions that might overlook critical details, Piai™ is a specialized system of personal injury AI models trained on hundreds of thousands of injury cases and millions of medical records. Its two-layered approach is developed by EvenUp’s team of expert lawyers, adjusters, nurses, paralegals, and data scientists, resulting in an impressive 99% accuracy.
More than just reading text, Piai™ is built specifically for personal injury cases—it deeply understands complex and unstructured medical documents, accurately extracting every key detail to ensure that no critical piece of evidence is missed.
Express Demands™ is designed with user-friendliness in mind, requiring minimal training. Its intuitive interface lets attorneys and case managers quickly generate comprehensive demand letters, streamlining the demand package process.
By integrating Express Demands™ into your practice, you can leverage AI to enhance the efficiency and effectiveness of your demand letter drafting process—achieving faster, higher settlement outcomes.
