In an admissions world where a few points can change outcomes, two Armenian-American founders are building what they believe is a smarter path to law school. LexPrep, founded by Hunter Pruett and Arman Tarverdyan, is positioning itself as an AI-driven LSAT prep platform designed to adapt in real time to each student’s strengths and weaknesses, replacing generic studying with a system that diagnoses, trains, and refines with precision.
At its simplest, LexPrep is built around one idea: prep should respond to the student, not force the student to guess what to do next. Instead of treating LSAT prep like a one-size-fits-all course, LexPrep combines intelligent diagnostics, adaptive practice, and data-driven insights to help students improve faster, stay focused, and maximize their scores.
Built From the Frustration Students Know Too Well
LexPrep did not start as a business plan, it started as a personal problem.
While preparing for the LSAT and navigating the law school admissions process themselves, Hunter and Arman ran into the same issue many students face: traditional LSAT prep often feels static, heavy on content, light on true personalization. LexPrep is licensed by the Law School Admission Council, allowing the platform to incorporate official LSAT materials into a more adaptive and personalized study experience.
Rather than accept that as normal, they built what they felt was missing: a modern LSAT system built for the AI era, where performance data can shape the next drill, the next lesson, and the next week of studying.
Two Founders, One Platform, Complementary Strengths
LexPrep reflects the blend of both founders’ backgrounds.
Arman Tarverdyan is a graduate student studying International Relations at Boston University and an incoming law student at USC Gould School of Law. He previously studied Business Administration at Woodbury University, where he became the youngest graduate of his class at age 19 and received recognition for standout performance in the business department. During that time, he co-founded what is now described as one of Southern California’s leading educational consulting firms, DegreeMentors, and has helped over a thousand students navigate higher education and gain admission to top institutions.
Arman frames the creation of LexPrep as a continuation of a pattern he’s followed for years: identify the gap, build the solution.
“In both high school and college, I learned largely through trial and error, and I realized how disadvantageous that can be in today’s world,” Tarverdyan said. “I was taught to identify gaps and build solutions, and while studying for the LSAT, I noticed a strong demand for AI-driven tools on platforms like Reddit, even though resources were not necessarily scarce. In response, we built a platform trained on over 70,000 lines of code to precisely target students’ weaknesses on the LSAT. The process was time-consuming, but the result became what I believe to be the most effective self-study tool for the exam.”
Hunter Pruett is a software engineer and entrepreneur studying Electrical Engineering and Computer Science at UC Berkeley, focused on applied AI and full-stack development. He is a Neo Scholar and a High School Robotics World Championship competitor, and has a long track record of building systems, from AI-driven platforms to off-grid and IoT solutions. He also won the GUSD Invention Convention three years in a row for original technical projects, reflecting an early pattern of engineering creativity and execution.
For Hunter, LexPrep is not only a test-prep platform, it’s also part of a bigger shift: preparing students for a legal world shaped by AI.
“To stay relevant as Armenians, we must adapt to future technologies in real time. While LexPrep revolutionizes the LSAT prep experience with AI, the deeper mission is to prepare our students for tomorrow’s legal world of AI and agents,” said Pruett.
What LexPrep Is Actually Offering
LexPrep is built to be an end-to-end LSAT system, not a single feature.
The platform combines course material with an AI study assistant and training workflows designed to make improvement measurable. Instead of generic drills, LexPrep is centered around adaptive practice that learns from performance, tracks errors, and pushes students toward the specific patterns that cost them points.
The founders describe the experience as modern LSAT prep built around three pillars:
- Intelligent diagnostics, so students know what’s actually holding them back
- Adaptive practice, so training evolves as the student evolves
- Data-driven insight, so time spent studying turns into real improvement, not random repetition
The intended outcome is simple: help students maximize their scores and compete for top law schools, with a system that feels like an AI tutor, analyst, and study planner combined.
Why This Matters Now
The legal world is changing. The admissions world is still catching up.
LexPrep is being built on the belief that students are entering a future where law and AI will overlap deeply, and that the preparation process should reflect that reality now, not ten years from now. If the LSAT is a gateway into legal careers, the founders argue that the tools students use to reach that gateway should be as modern as the world they are stepping into.
At the same time, the deeper mission has an Armenian layer: build something forward-looking, compete globally, and show what Armenian founders can create when they build at the edge of new technology.
The Bigger Idea Behind LexPrep
LexPrep is not just aiming to help students study, it’s aiming to replace the guesswork that dominates self-study.
It is a bet that the next generation of test prep will be AI-driven, personalized by default, and shaped by real performance data rather than static lesson plans. Hunter and Arman are building LexPrep as a proof point: that Armenian-American founders can build at the intersection of education, AI, and long-term professional transformation.
And for anyone preparing for the LSAT, the pitch is clear: prep should feel intelligent, not overwhelming.
