Legal Research Intern (Part-Time)

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. We are looking for part-time legal research interns from accredited law schools. 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. Position: Part-Time Legal Research Intern Location: Remote Hours: 10–20 hours per week (flexible around class schedules) Eligibility: 2L and 3L students at accredited law schools What You’ll Do 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. 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 This Internship 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.