EvenUpTranslation site

Company Overview

EvenUp is a founded in 2019Intelligent Lawservice provider, headquartered in the United States. The company is dedicated to optimizing the traditional claims process through artificial intelligence and data analytics to help law firms achieve efficient and accurate quantitative support in case evaluation and compensation calculation. Its founding idea stems from the resource imbalance prevalent in the legal claims process and aims to utilize technology to shorten the process, improve the bargaining power of the plaintiff's side and provide a fairer chance for the injured.

Team Introduction

EvenUp's founding team consists of a group of industry professionals with backgrounds in computer science, artificial intelligence, or law. They have worked in well-known legal technology companies or law firms and have accumulated a wealth of experience and resources. Below is a brief introduction of the core team members:

• Chief Executive Officer (CEO): Rami Karabibar, who is responsible for the overall strategic planning and operational management of the company.
• Chief Operating Officer (COO): Raymond Mieszaniecr, who is responsible for the company's day-to-day operations and business development.
• Chief Legal Officer (CLO): Saam Mashhad, who is responsible for the company's legal affairs and compliance.

Financing

• Series B Financing:: April 6, 2023, a $50.5 million financing led by Bessemer Venture Partners with participation from Bain Capital Ventures, Clio, Scott Belsky and other investors and investors.
• Series C Financing: November 1, 2023, in a $35 million financing led by Lightspeed Venture Partners.
• Series D Financing: $135 million in funding on October 8, 2024, led by Bain Capital Ventures with participation from Premji Invest, Lightspeed Venture Partners, Bessemer Venture Partners and others. This is the largest funding round in the history of legal AI, bringing EvenUp's valuation to over $1 billion.

Products & Services

• Piai™ AI model: This is EvenUp's proprietary AI model that assists users with document generation, case preparation and negotiation preparation. Piai™ excels in a number of core areas of personal injury case processing, such as medical expense identification, treatment identification, and date of service mapping.
• Claims Intelligence Platform: The platform is able to combine in-house human legal expertise with proprietary AI and software to provide users with comprehensive claims intelligence and analysis. Through the platform, users can more easily understand key information about a case, precedents, potential damages, etc.
• AI-based demand kits and medical chronology: EvenUp uses AI technology to generate demand packages and medical chronologies, optimizing the time-consuming process of traditional handwritten demand letters for law firms. These tools help attorneys proactively address issues early in a case, ultimately improving overall case delivery efficiency.

Core Advantages

• technical strength: The company's Piai™ system has been deeply trained on hundreds of thousands of personal injury cases and works closely with a world-class team of over 100 legal, medical and paralegal experts. This gives EvenUp a significant advantage in AI technology.
• accuracy: Precision and accuracy are extremely critical in personal injury claims processing, and EvenUp ensures a high level of accuracy and human touch by combining a dual strategy of AI and manual review. This helps to avoid the problems of mistakes and omission of critical information that may result from relying solely on AI.
• market position: EvenUp has become a leader in the personal injury AI and document generation space, having delivered approximately 100,000 demand packages and medical chronologies. This further solidifies its competitive position in the legal tech market.
• Customer base: More than 1,000 law firms have used EvenUp's services to assist law firms in recovering more than $1.5 billion in compensation. This proves EvenUp's success in business performance and its ability to land in vertical scenarios.