5
min read time

Personal Injury Case Valuation Software: How to Evaluate

Attorney reviewing case valuation analytics on laptop and monitor alongside an AI robot pointing to scatter plots, pie charts, and bar graphs for personal injury case valuation.

Every plaintiff attorney has done the manual version of personal injury case valuation.

Pull the medical bills. Tally the past expenses. Estimate the future treatment costs. Apply a pain and suffering multiplier based on judgment and experience. Double-check the wage loss calculation. Hope nothing was missed.

That process works. But it is slow, it is inconsistent across attorneys, and it is entirely dependent on the person running the numbers having every document in front of them at the right time.

Personal injury case valuation software is designed to replace that manual process with a structured, data-driven output that gives attorneys a consistent starting point on every case.

This article walks through what case valuation tools actually do, how to evaluate them, and what separates a useful personal injury damages calculator from one that just produces a number your attorney cannot rely on.

KEY TAKEAWAYS

  • Personal injury case valuation software should pull figures from your actual case documentation, not from a generic multiplier formula applied to entered numbers.
  • The most important output from a case valuation tool is not a dollar figure. It is the structured breakdown of how that figure was calculated.
  • Personal injury law firm software used for case valuation must be HIPAA compliant before any medical records enter the workflow.
  • An automated case valuation tool that flags missing documentation before producing an output is significantly more reliable than one that calculates from whatever data is available.

Defining Personal Injury Case Valuation

Personal injury case valuation is the process of calculating the total compensatory damages a plaintiff is entitled to based on the documented evidence in their case file.

A complete personal injury case valuation is not a single number. It is a structured, component-by-component breakdown covering past medical expenses, future treatment costs, lost wages, pain and suffering, and property damage. Each component is drawn from verified documentation, not from estimates or averages.

The valuation forms the foundation of the settlement demand. How it is calculated, what documentation it is based on, and how each figure is supported determines whether the demand holds up under adjuster scrutiny or gives opposing counsel grounds to challenge it.

What Personal Injury Case Valuation Actually Involves

Before evaluating any software, it helps to be precise about what personal injury case valuation means in practice for a plaintiff law firm.

Case valuation is not a single calculation. It is a multi-component process that requires accurate documentation of every relevant damages category.

The Core Damages Categories

A complete personal injury case valuation covers the following:

Past Medical Expenses: Total billed amounts organized by provider, including emergency department care, specialist visits, imaging, physical therapy, and any other documented treatment. The figure is drawn from verified billing statements, not estimates.

Future Medical Expenses: Projected ongoing care costs based on treating physician recommendations. This typically includes physical therapy, specialist follow-ups, pain management, and any anticipated surgical interventions.

Pain and Suffering: Non-economic damages calculated using either a multiplier applied to total medical expenses or a per diem approach based on the duration and severity of the injury. Multipliers typically range from 1.5x to 5x total medical expenses depending on injury severity. A soft tissue case may support 1.5x to 2x, while a permanent disability case with documented long-term functional limitations may support 4x or higher. 

Per diem calculations assign a daily value to the injury and multiply it by the number of days the plaintiff experienced pain and limitation. The appropriate method depends on jurisdiction, documented injury severity, and the strength of the clinical evidence.

Lost Wages: Income lost during the recovery period, documented with employer verification and pay stubs. Where applicable, future earning capacity loss is addressed with vocational expert input.

Property Damage: Vehicle repair or total loss value, documented with appraisals or repair estimates.

Why Manual Case Valuation Creates Inconsistency

When personal injury case valuation is done manually, the output depends entirely on who is running the numbers, what documentation they have in front of them, and what multiplier they choose to apply.

Two attorneys at the same firm can review the same case file and arrive at materially different valuations. That inconsistency affects settlement positioning, negotiation strategy, and ultimately client outcomes.

Personal injury case valuation software standardizes the process by applying consistent calculation logic to the same verified documentation every time.

What Case Valuation Software Actually Does

Infographic showing five functions of case valuation software including documentation extraction, automated damages assembly, pain and suffering calculation, case valuation summary, and documentation gap alerts by Law Practice AI

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A personal injury damages calculator embedded in a plaintiff law firm workflow does more than multiply medical bills by a number.

Here is what a properly built case valuation tool produces:

  • Documentation extraction

Reads the medical records and billing statements in the case file to identify all documented expenses, rather than relying on manually entered figures.

  • Automated damages assembly

Organizes past medical expenses by provider, aggregates future medical projections from treating physician recommendations, and calculates wage loss from verified employer documentation.

  • Pain and suffering calculation

Applies the appropriate calculation method based on the jurisdiction and case parameters, producing a figure with a documented basis rather than an unsupported estimate.

  • Case valuation summary

Delivers a structured breakdown showing every component of the valuation, the source documentation for each figure, and the calculation method applied.

  • Documentation gap alerts

Flags missing records, incomplete billing information, and unverified figures before the valuation summary is presented to the attorney.

A personal injury damages calculator that skips any of these steps is producing a number, not a valuation.

How to Evaluate Case Valuation Software for a Plaintiff PI Firm

AI robot taking notes on a tablet beside analytics charts and a client protection icon, how to evaluate case valuation software for a plaintiff PI firm.

These are the criteria that separate useful case valuation software from tools that add more steps than they remove.

1. Does It Read Your Actual Case Documents?

The most important question is whether the tool reads your uploaded case documents or asks you to enter figures manually.

A tool that accepts manual entries produces output based on what someone typed in. A tool that reads your uploaded records produces output based on what the documentation actually shows.

For personal injury case valuation, that distinction is significant. A billing total entered manually is only as accurate as the person who entered it. A billing total extracted from the uploaded provider records is verified against the source.

2. Does It Integrate With Your Legal Software?

Case valuation software that does not connect to your existing platform CASEpeer, Filevine, SmartAdvocate requires your team to re-enter information that is already in your system.

Personal injury law firm software used for case valuation should pull case data, billing records, and client information automatically. An automated case valuation that requires manual data transfer between platforms is not actually automated.

3. Does It Produce a Structured Breakdown, Not Just a Total?

A dollar figure without a breakdown is not a usable case valuation for a plaintiff attorney.

The output needs to show every component of the calculation, the source for each figure, and the method used to calculate pain and suffering. An attorney reviewing the valuation should be able to verify every line before using it to set a demand.

4. Does It Flag What Is Missing?

An automated case valuation tool that calculates from whatever documentation is available, without flagging what is missing, will produce an inaccurate valuation whenever the case file is incomplete.

The tool should identify missing provider records, unverified wage loss documentation, incomplete billing statements, and any other gaps before presenting the valuation. Catching missing documentation before the calculation runs is significantly better than discovering it after the demand letter is sent.

5. Is It HIPAA Compliant and SOC 2 Certified?

Every personal injury case file contains protected health information. Any case valuation software that processes medical records must be HIPAA compliant and SOC 2 Type II certified, with a signed Business Associate Agreement in place before any client data enters the platform.

This is not optional for plaintiff law firms. It is a baseline requirement.

6. Does Attorney Review Remain Mandatory?

No automated case valuation should produce a final figure that goes directly into a demand letter without attorney review.

The software handles the data assembly and calculation. The attorney reviews the output, adjusts where judgment requires it, and approves the final valuation before it is used. Firms using tools that skip this step are assuming professional responsibility risk they do not need to take.

General Calculator vs. Purpose-Built Case Valuation Software

Factor General PI Calculator Purpose-Built Case Valuation Software
Input method Manually entered figures Reads uploaded case documents
Damages breakdown Total only Component by component with sources
Legal software integration None Native with CASEpeer, Filevine, SmartAdvocate
Documentation gap detection None Flags missing records before calculating
Pain and suffering method Single multiplier Jurisdiction-aware calculation
HIPAA compliance Varies Required and certified
Attorney review step Optional Mandatory
Output usability Reference only Ready for attorney review and demand drafting

How Law Practice AI Handles Personal Injury Case Valuation

Law Practice AI includes automated case valuation software built specifically for plaintiff law firms.

The platform reads the uploaded medical records, billing statements, and case documentation to assemble a complete valuation. Past medical expenses are organized by provider. Future medical projections are drawn from treating physician recommendations. Wage loss is calculated from verified employer documentation.

The pain and suffering calculation is documented with the method and basis used. Every component of the valuation shows its source so the attorney can verify every figure before using it.

Documentation gaps are flagged before the valuation summary is produced. Attorney review is required before any output is used. No valuation leaves the platform without explicit attorney approval.

Law Practice AI is HIPAA compliant and SOC 2 Type II certified. A signed Business Associate Agreement is in place with every firm before any client data enters the platform.

Frequently Asked Questions

Frequently Asked Questions: Personal Injury Case Valuation

Q1: What is personal injury case valuation?

Q2: How does a personal injury damages calculator work?

Q3: How does Law Practice AI automated case valuation differ from a general PI damages calculator?

Q4: Is HIPAA compliance required for personal injury case valuation software?

Q5: Does Law Practice AI offer a free trial?

The Right Case Valuation Tool Produces a Breakdown Your Attorney Can Actually Use

A personal injury case valuation is only as reliable as the documentation behind it.

Tools that accept manual inputs produce estimates. Tools that read your actual case documents, flag what is missing, and deliver a component-by-component breakdown with documented sources produce valuations.

That is the distinction worth holding every case valuation software option to before your firm commits to using it.

Book a Consultation to see how automated case valuation software fits your plaintiff practice.

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Legal Document Data Extraction: What It Is and How It Works

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December 9, 2025

One of the basic stages of the legal workflow is document review, where law firms deal with large volumes of documents every single day. Each one contains valuable data buried in dense paragraphs and complex formatting. Manually extracting information from these lengthy documents can be time-consuming and exhausting.

For anyone wishing there were a faster way to deal with piles of paperwork, there is an alternative: legal document data extraction.

What Is Legal Document Data Extraction?

Legal document data extraction is the process of identifying and retrieving relevant information from legal documents. It works by scanning a document, recognizing the characters on the page, and understanding the context of those characters so they can be labeled accurately. This allows diverse documents to be queried, analyzed, and integrated into internal databases.

In the past, manual extraction required legal professionals to read documents line by line, locate relevant information, and enter it into spreadsheets or case management systems. Modern legal technology now uses artificial intelligence to automate the whole extraction process.

How AI Powers Legal Document Data Extraction

AI is powered by a combination of technologies that allow it to read and understand documents and work in a way similar to humans, but at a much faster scale. Here are the key technologies that make this possible:

Optical Character Recognition (OCR)

OCR converts scanned documents and images into text that computers can read and analyze. This is important because many legal documents are received as PDFs or scanned copies.

Natural Language Processing (NLP)

If OCR serves as the “eyes,” NLP functions as the language center. It helps AI understand context, sentence structure, and grammar so it can extract meaning, not just keywords. It can recognize that “party of the first part” is a specific contractual term, or that “plaintiff” and “claimant” may refer to the same party.

Machine Learning

Machine learning algorithms improve by learning from examples. As the system processes more legal documents, it gets better at recognizing patterns and extracting information. The more documents it encounters, the more accurate it becomes over time.

Large Language Models (LLMs)

LLMs understand context and meaning at a deeper level. They can interpret complex legal concepts, identify relationships between sections of a document, and even recognize implied information that may not be stated directly.

What AI Data Extraction Can Do

AI data extraction goes far beyond simple copy-and-paste. Here's what modern systems can handle:

  • Automation: AI eliminates manual data entry and enables workflows that handle routine documents entirely on their own, without human intervention.
  • Classification: AI automatically sorts documents into categories, routes them to the appropriate extraction workflow, and applies the correct rules for each document type.
  • Visualization: Extracted data can be turned into visual dashboards, timelines, and relationship maps. This converts text into insights, for example, showing contract expiration dates on a calendar or visualizing case timelines across multiple documents.
  • Search & Querying: Instead of searching for file names, you can search across thousands of documents for specific terms or concepts, such as locating every mention of a particular party.‍
  • Intent/Topic Detection: AI understands the “why.” It can detect what a document is about and what the parties intend to accomplish.

Features of Legal Document Data Extraction

Not all extraction tools are built the same. Modern legal document extraction tools include advanced features such as:

Entity Extraction

The system automatically identifies and extracts specific data points, such as names of parties, dates, monetary amounts, and locations.

Metadata Extraction

Beyond the document content, AI captures metadata like file creation dates, author information, document version numbers, and edit history.

Clause Identification

This feature lets you quickly see which contracts contain specific provisions without reading each one cover to cover. It locates and categorizes clauses regardless of their placement in the document.

Table Extraction

This feature pulls data from tables, schedules, and exhibits while maintaining the relationships between data points. It preserves the organization of the key information rather than converting it into jumbled text.

Batch Processing

As caseloads and document volumes grow, this feature improves efficiency by allowing firms to process hundreds or thousands of documents at once, extracting data from all of them simultaneously.

Software Integration

For practices using software or CRM platforms, legal data extraction tools can connect directly to existing systems, eliminating the need for manual data entry.

Benefits of Automated Legal Document Data Extraction

Why are firms making the switch? Here are key advantages over traditional manual extraction:

  • Time Savings: What once took hours or days can now be completed in minutes. Teams can review large volumes of contracts in the time it previously took to process just one manually, freeing time for tasks that require legal expertise.
  • Improved Accuracy: Humans can get tired, especially in fast-paced work environments, which can often lead to missing things, particularly when reviewing repetitive documents. Automated data extraction, powered by machine learning and artificial intelligence, maintains consistent accuracy and catches details that might otherwise be overlooked.
  • Better Client Service: Faster document processing means quicker responses to client questions, shorter turnaround times, and more time for strategic legal advice rather than administrative tasks.
  • Cost Reduction: According to Clio's 2024 Legal Trends Report, lawyers spend only 2.9 hours per day on billable tasks, with the rest spent on non-billable administrative work. Manual review and extraction of documents adds more work, making automation a solution to save time and reduce costs.‍
  • Scalability: Handle sudden increases in workload or take on more cases without needing extra staff. This technology helps law firms work more efficiently and grow their processes beyond what people can do manually.

Common Use Cases for Legal Data Extraction

Legal professionals use data extraction across many practice areas and document types:

  • Contracts: Pulling renewal dates, parties involved, termination clauses, and payment terms.
  • Court Documents: Extracting case numbers, ruling summaries, filing deadlines, hearing dates and claims.
  • Discovery Files: Sorting through thousands of emails and memos for relevant information.
  • Intake Forms: Automatically capture client information, case details, and relevant matters from questionnaires.
  • Compliance Documents: Verifying that vendor certificates meet regulatory standards.
  • Medical Records: Pull patient information and summarize relevant medical history for personal injury or malpractice cases.
  • Insurance Claims: Extract claim details, incident dates, and policy limits.
  • Corporate Filings: Organizing bylaws, minutes, and shareholder information.
  • Police Reports: Extract incident dates, locations, parties involved, witnesses, and narrative details.

By applying these tools across different document types, legal teams can focus on more important work and provide better service to clients.

What to Look for in an AI Extraction Tool

AI robot pointing to a panel of AI extraction tool features including analytics, settings, integrations, and file management, with text - what to look for in a legal document data extraction tool

Not all extraction tools work the same way, they’re built for specific purposes and industries. For legal documents, here are the key factors to consider when choosing a tool for your practice:

Key Considerations

  • Accuracy rates: Look for systems with proven high accuracy on legal documents. Lower accuracy means more manual correction, which defeats the purpose of automation.
  • Legal-specific training: General-purpose AI won’t understand legal terminology or document structures. Choose tools trained or designed specifically for legal documents and concepts.
  • Customization options: No two law practices are the same. Find tools that allow custom templates and writing styles that reflect your practice’s unique needs.
  • Security and compliance: Legal documents contain sensitive and confidential client information protected by law. Ensure the tool meets legal industry security standards and has clear privacy policies explaining how information is handled.

Common Pitfalls to Avoid

You're responsible for the tools you use in your practice, so watch out for these common mistakes:

  • Overlooking training requirements: Some tools need extensive training or configuration before they work well. Understand the setup time required before committing.
  • Ignoring document variety: Many tools offer trial versions, use this opportunity to test them with your actual documents. Performance on sample files doesn't always translate to real-world documents with varying quality and formats.
  • Neglecting vendor support: When you encounter problems or need customization, responsive support makes the difference. Evaluate the vendor's reputation and support options carefully.

3 Steps to Extract Data From Legal Documents Using AI

Getting started is simple and doesn't require a steep learning curve. Here's an example process using Law Practice AI:

1. Upload the Legal Document

Simply drag and drop your document into the extraction tool to upload it to the platform. The system supports batch processing, letting you upload multiple documents or entire folders at once.

2. Review and Verify Extracted Data

The AI processes the file and presents the data in a summarized, structured format. You review the output on a dashboard and verify that all relevant information is captured. An intelligent search feature lets you find exact information from your documents instantly.

3. Export Legal Data to Your Preferred Format

Once verified, click export to send the structured data directly to your software system, share it with your team, or download it in your preferred format.

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See Legal Document Data Extraction in Action for free

Get Started with Automated Legal Document Data Extraction

The way law practices operate is constantly evolving, and new technologies powered by artificial intelligence are transforming how legal work is done. The question isn't whether to adopt this technology, but how you'll use it to enhance your legal services and better support for your team.

At Law Practice AI, we've built extraction tools specifically designed for legal professionals who need reliability, accuracy, and security. Our systems are engineered to meet the unique demands of legal practice while maintaining industry standards for confidentiality and data protection.

Ready to see how much time you could save? Start with a few documents and experience the difference automated extraction can make.

Frequently Asked Questions

Can AI extract data from multiple documents at the same time?
Can it Understand Legal Language?
Is AI-powered data extraction accepted in the legal industry?

Hamid Kohan and Practice AI™ Spotlighted in The Excellence Review

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min read

Hamid Kohan and Practice AI™ Spotlighted in The Excellence Review for Legal Tech Leadership

In a world where bold innovation and visionary leadership define success, The Excellence Review has spotlighted Hamid Kohan, CEO of Practice AI™, for his groundbreaking contributions to the legal tech landscape. Recognized as one of the world’s most influential CEOs of 2025, Kohan is leading a quiet revolution in how law firms use artificial intelligence to scale smarter, serve better, and compete effectively.

The feature, titled “Hamid Kohan: Shaping the Future of Legal Tech with AI,” explores his remarkable journey from Silicon Valley to the forefront of legal innovation, where he continues to transform law firm operations through strategic, AI-powered solutions.

A Legacy of Innovation: From Silicon Valley to Legal AI

With an early start in engineering at 17 and an MBA by 21, Kohan's tech career began at pioneering companies like GRiD Systems and SUN Microsystems, where he contributed to world-first technologies including the laptop and high-performance servers. But his true calling emerged in building solutions that solve real problems.

That vision came to life in Practice AI™, an AI-first legal technology company committed to eliminating outdated workflows in law firms and replacing them with intelligent automation.

Practice AI™: Turning Complex Problems Into Smart Solutions

At the core of The Excellence Review's profile is Practice AI’s mission: help legal teams scale with precision by eliminating repetitive tasks and refocusing energy on strategic work.

Practice AI™ offers two flagship tools:

  • AI Demands™ – Automates personal injury and lemon law demand letters with clarity and compliance.
  • AI Case Summary™ – Extracts key facts from medical records, police reports, and legal documents to streamline case management.

These tools are not simple add-ons; they’re embedded into law firm workflows to create operational excellence at every level.

Innovation with Purpose: A CEO Who Executes

As The Excellence Review highlights, Kohan’s leadership is defined by execution, speed, and clarity. Under his guidance, Practice AI™ has:

  • Cut law firm drafting time by over 80%.
  • Expanded into multi-state, multi-practice legal sectors.
  • Built strategic partnerships with top law firms and staffing agencies.
  • Earned industry praise for its data-driven, results-focused model.

Kohan’s mantra, “Speed, strategy, and execution”, defines his formula for scaling technology that works.

Overcoming Resistance, One Success Story at a Time

The article also notes Kohan’s realistic view of industry challenges. He acknowledges that some attorneys resist AI out of tradition or fear, but emphasizes that education is key.

“Once firms see how our tools reduce overhead and improve accuracy, the hesitation fades,” Kohan explains in the interview. “They’re not just adopting technology, they’re transforming their operations.”

Culture and Vision: The Practice AI™ Difference

Kohan has built a company culture centered on trust, experimentation, and accountability. Innovation isn’t just a goal, it’s the foundation.

At Practice AI™, the team is encouraged to:

  • Move fast and test ideas quickly.
  • Focus on solving client problems, not just building flashy tools.
  • Own their work and drive measurable results.

This culture has powered Practice AI™’s rapid growth while keeping it grounded in user needs.

Looking Ahead: AI as the Backbone of Legal Practice

In The Excellence Review, Kohan outlines a bold vision for the future:

  • Expand AI tools across more legal sectors.
  • Partner with national law firms to improve efficiency.
  • Lead advancements in AI-powered legal research and document automation.

In his words, “AI will be as fundamental to legal work as case law, and Practice AI™ will be at the center of that shift.”

A Message to Law Firms: Don’t Wait

Kohan’s closing message is urgent and clear: “AI isn’t the future of legal work, it’s the present. Waiting is no longer an option. The firms that act today will lead tomorrow.”

Practice AI™, AI Demands™, and AI Case Summary™ are more than tools, they’re part of a smarter legal ecosystem designed to elevate performance, cut costs, and enhance results.

Read the Full Feature in The Excellence Review

To dive deeper into Hamid Kohan’s journey and how Practice AI™ is shaping the legal tech revolution, read the full article on The Excellence Review.

https://theexcellencereview.com/hamid-kohan-shaping-the-future-of-legal-tech-with-ai/

Practice AI and Legal Soft to Showcase Legal Tech Innovation at AAJ 2025

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min read

Practice AI and Legal Soft to Showcase Legal Tech Innovation at AAJ 2025

Woodland Hills, California – Practice AI™, in partnership with Legal Soft®, will attend and exhibit at the American Association for Justice (AAJ) 2025 Annual Convention at the Moscone Center in San Francisco, from July 18–22. Recognized as the premier event for trial attorneys and legal professionals, AAJ 2025 offers an unparalleled platform for continuing legal education, networking, and exposure to game-changing legal technologies.

Over five action-packed days, thousands of legal professionals will explore new litigation strategies, meet with thought leaders, and engage with cutting-edge vendors. Practice AI™ and Legal Soft® are proud to stand among the innovators shaping the future of law, showcasing their latest AI-powered solutions that streamline legal practice without sacrificing the human touch.

“AI is not here to replace lawyers—it’s here to eliminate repetitive tasks and empower legal teams to focus on advocacy and strategy,” said Hamid Kohan, CEO of Practice AI™ and Legal Soft®. “As technology advances, our responsibility is to ensure that AI tools uphold ethical standards, protect client confidentiality, and align with the real‑world needs of law firms.”

Live Demonstrations of Industry-Leading AI Solutions

Practice AI™ will offer live demos of AI Demands™, its flagship tool that automates the drafting of statute-compliant personal injury and lemon law demand letters in under ten minutes. This allows law firms to cut manual drafting time by over 80%, reduce human error, and refocus staff time on client engagement and litigation strategy.

Attendees can also experience AI Case Summary™, which distills complex medical records, police reports, and other legal documents into clear, actionable case summaries—within seconds. These tools represent a powerful shift in legal operations, bringing speed and clarity to document-heavy casework.

Designed for the Legal Field—with the Legal Field

Rather than applying generic AI models to legal work, Practice AI™ builds its tools specifically for trial attorneys, legal assistants, and paralegals. Each product is developed in consultation with practicing attorneys to ensure usability, compliance, and relevance to real-world legal challenges.

“Attending AAJ is a vital opportunity to engage with the legal community,” said Hamid Kohan. “We believe that AI must be developed in partnership with the bar to address real challenges in practice. By demonstrating our platforms live, we aim to gather feedback directly from trial attorneys and paralegals, ensuring our solutions are continuously refined to meet the highest standards of performance and reliability.”

Technology That Builds Trust

The legal industry rightly demands high standards when it comes to data security, ethical compliance, and results. Practice AI™ and Legal Soft® design their products to align with these expectations. Hosted on secure, HIPAA-compliant cloud systems, these tools protect client data while improving case throughput.

Rather than replacing attorneys, the AI acts as a force multiplier—supporting lawyers in their effort to serve clients, win cases, and grow their practices.

Join Us at AAJ 2025

Legal professionals attending AAJ 2025 in San Francisco are invited to stop by the Practice AI™ and Legal Soft® booth to:

  • Watch live product demonstrations
  • Ask questions about implementation
  • Sign up for our FREE trial with Practice AI™
  • Share feedback on challenges they face in legal operations

With the AI revolution well underway, Practice AI™ and Legal Soft® are proud to offer practical, ethical tools that help legal professionals work smarter—not harder.

Ready to See the Future of Legal Tech?

Learn more about how AI Demands™ and AI Case Summary™ are changing the game for personal injury and litigation practices. Visit us at AAJ 2025 or contact us.