AI in Action for Personal Injury Law: Live Demos, Litigation Workflows, and Ethical Guardrails Every Attorney Must Master

Kristopher K. Rezagholi, Esq | ProPlaintiff.ai

Kristopher K. Rezagholi, Esq. is a trial attorney and legal tech entrepreneur, best known as the Co-Founder of ProPlaintiff.ai, an award-winning legal tech platform that uses Agentic AI to streamline personal injury case management and automate legal drafting. With nearly two decades of legal experience, Kristopher brings a unique perspective to the intersection of law and technology.

Kristopher earned his J.D. cum laude from ASU’s Sandra Day O’Connor College of Law, where he was named a Willard H. Pedrick Scholar and served as a law review editor.

After graduating, Kristopher began his career as an associate attorney practicing commercial litigation. In 2011, he left his firm to pursue personal injury law and launched the Law Offices of KKR. Later he grew his law firm’s practice areas to include criminal defense and family law.

Kristopher has also been instrumental in founding several Alternative Business Structure (ABS) law firms, including Harmony Law, a national law firm offering affordable family and immigration services.

Kristopher driving mission is to modernize the practice of law and expand access to legal services.

Pratik Shah | EsquireTek

Pratik Shah is the CEO and Co-Founder of EsquireTek, an AI platform automating the written discovery process. He also serves as the Associate Director of Litigation and Head of AI at Panish | Shea | Ravipudi LLP, where he drives the firm’s adoption of cutting-edge technology to advance litigation strategy and trial preparation.

A recognized leader in legal AI, Pratik has been featured by UC Irvine School of Law, PILMMA, LSA, OCAABA, and Legal Week New York. He was named one of the Top 15 Attorneys Disrupting the Legal Industry in 2021 and has been honored as a Super Lawyers Rising Star every year since 2016.

Viraj Bindra | Finch

Viraj is the founder and CEO of Finch. Previously, he spent 8 years as an early employee and veteran of DoorDash, where he spent several years building services and tools that supported growing restaurants, liquor stores, and retailers across the country to hit their goals. Viraj now brings his experience to plaintiff law, building a team of elite operators from firms like Morgan & Morgan and Brandon J Broderick plus technology to help firms nationwide uplevel pre-litigation.

Andrew Bell | Proof

Andrew Bell has been with Proof for more than 3 years and is currently serving as the Client Success Manager for law firms in the Western Region of the U.S. He is passionate about helping legal practices streamline and scale their service of process with Proof’s technology. He holds a degree in Health Communications, Business, Marketing, and Healthcare from Grand Valley State University. Prior to going Proof, Andrew was a Software Account Manager at global professional services firm Huron. Originally from Michigan, Andrew now resides in Denver, Colorado, and is an avid sports fan for all Detroit-based teams.

Ryan Sindelar | EvenUp

Ryan Sindelar is the Director of Legal Solutions at EvenUp, where he was the founding member of the sales team. He earned his J.D. from Drexel University’s Thomas R. Kline School of Law and began his legal career at Cozen O’Connor in Philadelphia. A graduate of Bucknell University, Ryan combines his legal expertise and industry experience to help law firms adopt innovative solutions that drive results.

Kendal Anderson | Filevine

Kendal Anderson has been with Filevine for six years, where she has helped launch hundreds of customers across a wide range of projects. She is the architect behind Filevine University, the company’s online learning platform, and previously led partner education and enablement programs to strengthen Filevine’s partner ecosystem. Today, Kendal heads Filevine’s AI implementation strategy, guiding firms through the adoption of AI-powered tools that are transforming legal practice.

Eran Kahana | Maslon LLP

Eran Kahana is an AI, cybersecurity, and intellectual property lawyer as well as a Fellow at Stanford Law School, a member of the Advisory Board of Stanford Law School’s Stanford Artificial Intelligence & Law Society, an adjunct professor of law at the University of Minnesota Law School, and a member of the Scientific Council of the Israeli Association for Ethics in Artificial Intelligence.

In his practice, Eran counsels’ clients on a wide variety of matters related to AI, cybersecurity, privacy, technology law, trademarks, patents, and copyright issues. Eran also serves in a variety of cybersecurity thought leadership roles and works closely with the FBI, Department of Justice, Secret Service, and colleagues from the private and academic sectors to set, promote, and sustain cybersecurity best practices.

At Stanford Law School, Eran writes and lectures on the intersect between law and AI and is a frequent speaker at Stanford’s annual Digital Economy Best Practices Conference. He has been cited in Oxford University Professor Marcus Du Satoy’s book The Creativity Code: Art and Innovation in the Age of AI and has been interviewed on AI, cybersecurity, privacy, and technology law by Bloomberg Law, BBC, Canadian Broadcasting Corporation (CBC) radio, KABC radio, Minnesota Public Radio, Twin Cities Business magazine, Star Tribune, Minnesota Lawyer, TheStreet.com, Quartz magazine, and Stanford University Radio, KZSU FM

Session I – ProPlaintiff: Streamlining Case Management with AI | 1:00pm – 1:15pm

• How to use AI to generate compelling, tailored demand letters
• How to create clear and concise medical summaries and chronological sites from complex records
• We’ll reveal the proven prompt formula used by top legal professionals to consistently get the best, most reliable results from the system

Session II – EsquireTek: Automating PI Discovery from Draft to Court-Ready Packet | 1:15pm – 1:30pm

• Automating written discovery responses with AI
• Streamlining medical evidence review
• Assembling court-ready discovery packets
• Best practices for accuracy, compliance, and efficiency

Session III – Finch Legal: AI-Powered Pre-Litigation| 1:30pm – 1:45pm

• Intake: How to build an intake process that captures every lead
• Case setup: How to set up every case within 24 hours (confirming liability, damages, and coverage) with the assistance of Finch’s AI agents
• Treatment & demand: How to manage pre-litigation effectively with AI-assisted medical record retrieval and demand drafting

Session IV – Proof: AI-Powered Service of Process for PI Law Firms | 1:45pm – 2:00pm

• How personal injury teams can handle their service jobs with greater efficiency, improve speed-to-resolution, and avoid costly mistakes
• How tech-driven workflows reduce administrative burden and allow for operational scale without sacrificing accuracy or compliance
• How Proof uses AI to create serve requests in 60 seconds and affidavits faster

Break | 2:00pm – 2:10pm

Session V – EvenUp: AI-Powered Demands, Chronologies, and Case Intelligence | 2:10pm – 2:25pm

• AI-driven document drafting & contextual workflows
• Advanced case intelligence & proactive case management
• Data-powered accuracy, insights & per-case simplicity

Session VI – FilevineAI: Smarter Case Management with Built-In Legal AI | 2:25pm – 2:40pm

• MedChron, which automatically generates accurate medical chronologies and summaries from patient records
• FilevineAI’s legal assistant, which enables you to chat with your case to get instant answers to queries like “How many doctor visits have occurred since we opened this case?” or ask for summaries, risk identification, or next steps, all based on the full context of your case data
• AI Doc Review, which extracts key information from documents and organizes it for fast review and follow-up

Session VII – Generative AI Reasoning Models and Legal Ethics | 2:40pm – 3:50pm

• AI technology definitions: Explaining generative AI, reasoning models, and AI agents, including their capabilities and limitations in legal contexts
• AI’s power of augmentation: How AI amplifies both benefits and risks across four dimensions (scope, scale, speed, sophistication), particularly affecting data privacy and security

Break | 3:10pm – 3:20pm

• Legal ethics and professional responsibility: ABA Model Rules of Professional Conduct implications, including competence requirements, confidentiality obligations, and guidance from ABA Formal Opinion 512
• Best practices for legal implementation: Practical recommendations for responsible AI use, including the shift from “end user” to “operator” mindset, risk assessment protocols, and due diligence requirements