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Part-time legal research intern to read and analyze judicial opinions, verify AI-extracted outputs against source materials, identify errors or edge cases, and collaborate with legal researchers and ML engineers. 10–20 hours/week; ideal for 2L or 3L law students.
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.
Role Summary:
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.
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.
Role Details
- Role Details Position: Part-Time Legal Research Intern
- Location: Nationwide, current student at any accredited law school in the US, open to in-office or remote flexibility
- Hours: 10–20 hours per week (flexible around class schedules)
- Eligibility: 2L and 3L students
Responsibilities
- 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.
Qualifications
- Currently enrolled as a 2L or 3L at an accredited Law School.
- 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.
Why Complete An Internship at Filevine?
- 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.
- Flexible, part-time schedule designed to work around law school commitments.
Compensation Information: $20.00/hr
Work Location Expectation: This position is based out of our San Francisco, Chicago, Salt Lake City or New York offices. Candidates residing in or near these metro areas are expected to work on a hybrid (2-3 days in-office/week) or fully onsite basis.
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
Privacy Policy Notice
Filevine will handle your personal information according to what’s outlined in our Privacy Policy.
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
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Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
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- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
