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.
As a Software Engineer, you’ll help us push the boundaries of what legal tech can do. You’ll build web applications and core backend services that connect with AI models like GPT, Claude and Gemini.
Working at Filevine is a mix of solving real-world customer problems, owning features end to end and shaping how we build software at scale.
Key Responsibilities
- Take ownership of features from idea → release → maintenance
- Partner with Product to shape solutions before they’re built
- Contribute to a codebase that stays stable, readable, and fun to work in
- Build across the stack - UI, APIs, backend services (no “that’s not my part” energy)
- Collaborate across teams to deliver on time without unnecessary drama
- Review code thoughtfully and give feedback that helps the whole team level up
Requirements
- 1+ years building and shipping software products from start to release to maintenance
- Experience contributing to projects and designing solutions that can scale with use
- Comfortable working across the stack - more focused on solving problems than guarding territory
- Thrives in a remote, collaborative environment: async communication, clear thinking, no ego
- Able to work with operations and customer-facing teams to turn messy realities into clean solutions
- Familiar with or open to using: Python, Typescript, React, Svelte, Kubernetes, AWS (we care more about engineering skill than specific tools)