We Want To Transform Medical Reviews

Our Mission:

It all started with a banker’s box of files, a kitchen table and one overwhelmed medical file reviewer. Our Co-Founders had a vision - develop a way to easily sift through medical records to find quintessential facts.

No one should struggle to find facts in medical data. Ever.

Our Mission - To revolutionize the way the world reviews medical records. 

No matter your role in a personal injury case, reviewing medical files for the facts can be a demanding, yet critical, process. Our goal is to help law firms and legal departments automate and streamline their medical record review processes, saving them time, increasing efficiency, and improving report accuracy, leading to better outcomes for clients and greater success for the firm.

How Can SiftMed Help Your Firm?
Read how SiftMed helped John get through his case reviews 2x faster.

SiftMed is built with proprietary technology

SiftMed is dedicated to developing and using the most advanced technology available to help improve your case preparation process. Simply upload the medical records you need to review and let our technology guide you.

Natural Language Processing & ML

Automates the organization and categorization of records. We take large medical files, allow for them to be chronologically sorted, create categories, and resolve duplicates.

Optical Character Recognition

Instantly makes your medical records searchable and allows you to easily copy and paste key pieces of information from PDF image files, including handwritten text.

Artificial Intelligence


Our team is developing  the groundwork for a predictive analytics model that will highlight pertinent diagnosises and critical information in a file.

Our Founders

Holly Hill
CEO & Co-Founder
10+ years experience in growing & scaling technology companies
Jeremie LaRouche, M.D.
Co-Founder
Orthopaedic Surgeon & Independent Medical Examiner

Our Team

Founded in 2020, SiftMed has grown significantly! The team is now a diverse group of innovative leaders, data scientists, software developers, and medical experts.