Legal Research Internship, Filevine
Operating intelligence for modern legal practice
Job no longer available
Operating intelligence for modern legal practice
501-1000 employees
Job no longer available
501-1000 employees
Company mission
To change the way legal work gets done for law practitioners and their clients.
Role
Who you are
- This role is ideal for law students who enjoy close reading of judicial opinions and legal analysis, and who are curious about how AI is being applied to legal practice
- Eligibility: 2L and 3L students
- Currently enrolled as a 2L or 3L at the University of Chicago Law School, Northwestern, or the Loyola University Chicago School of Law
- Completion of at least the 1L curriculum, including legal research and writing
- Enjoy reading and analyzing judicial opinions, statutes, and other legal authorities
- Strong attention to detail and familiarity with legal writing. Interest in legal technology or AI
What the job involves
- Filevine is developing new AI-powered tools for the legal industry. As part of this effort, we need people with real legal research training to review and validate data that our machine learning systems extract from published legal materials
- Role Details Position: Part-Time Legal Research Intern
- Hours: 10–20 hours per week (flexible around class schedules)
- Read and analyze published judicial opinions across state and federal jurisdictions
- Review outputs generated by AI systems and verify their accuracy against the source legal materials
- Apply your legal research training to identify errors, ambiguities, or edge cases in automated outputs
- Collaborate with legal researchers and ML engineers to improve data quality over time
- Gain hands-on experience working at the intersection of AI and law (which, in our view, is a meaningful differentiator in a changing legal market!)
- Apply your legal training to real-world problems that will shape how attorneys work with technology
- Work alongside experienced legal researchers and ML engineers on a cross-functional, international team
Our take
Law firms, corporate legal teams and government agencies are under increasing pressure to handle more work, more data and tighter timelines, all without increasing costs. As a result, demand is growing for legal technology that can automate routine tasks, organize complex information and also help laywers work faster and more accurately. AI has become a key part of this change, and today it's hard to find interest in legal tech that doesn't have AI at its core.
Filevine is a good example of how this shift is playing out, Founded in 2014, the company began as a software-as-a-service platform helping legal teams manage cases, documents, billing and payments in one place. Over time though, Filevine has expanded into what it now calls a Legal Operating Intelligence System, bringing intelligence into the full lifecycle of a legal matter. And in recent years, the focus has moved strongly toward AI, as most of the company's revenue comes from its AI products rather than from its original software.
This growth shows just how well its aligned with where the market is heading, and with $400M from major investors, it continues to expand its platform, adding AI tools that connect across legal workflows. By bringing together case management, depositions, contracts and drafting into a single system, Filevine has positioned itself as a central operating platform for modern legal teams.
Steph
Company Specialist at Welcome to the Jungle
Insights
-14% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Sep 2025
$400m
LATE VC
Apr 2022
$108m
SERIES D
Total funding: $825.6m
Company benefits
- Medical, Dental, & Vision Insurance
- Competitive & Fair Pay
- Short & long-term disability
- Maternity & Paternity leave
- Centrally located open office in Sugar House
- Company swag that will make your friends envious
- Opportunity to make an impact on Day 1
Company HQ
Sugar House, Salt Lake City, UT
Leadership
Ryan Anderson
(Co-Founder & CEO)Ryan co-founded Filevine in 2014 and has served as the CEO since.
Salary benchmarks
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