About The Role

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.

Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.About the Role

Filevine is looking for a motivated pre-med student to support our legal AI product team by reviewing and synthesizing medical literature relevant to personal injury and medical-legal case workflows. This internship offers hands-on exposure to how medical knowledge translates into legal tech, ideal for someone considering a career at the intersection of medicine, data, and law.

Responsibilities

Review medical literature, clinical studies, and treatment guidelines relevant to personal injury, workers’ comp, or medical malpractice case types
Summarize findings into clear, structured briefs for product and engineering teams
Help validate medical terminology, diagnosis codes, and treatment pathways used in AI training data
Collaborate with product managers to ensure medical accuracy in AI-generated outputs
Flag literature gaps or emerging research relevant to case evaluation

Qualifications

Currently pursuing a pre-med undergraduate degree (junior/senior preferred) or recent grad taking a gap year
Strong understanding of medical terminology and ability to read/interpret clinical studies
Excellent written communication and summarization skills
Detail-oriented with strong research instincts
Interest in legal tech, legal AI, healthcare data, or other AI-forward industries a plus