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EvenUp

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EvenUp is a legal technology startup that uses artificial intelligence to help personal injury law firms build stronger cases, primarily by generating demand letters and analyzing medical records. The company is known for streamlining the claims process and improving settlement outcomes for injury victims.

8 interview notes · updated Jul 2026

EvenUp·Software Engineer·Technical Phone Screen

Jul 2026
Interviewed for a Software Engineer role at EvenUp and got hit with a card game simulation problem that looked deceptively straightforward. The tricky part was handling war ties, cycle detection, and edge cases all at once without blowing up memory or runtime.
  • Implement a two-player card game simulation where players draw from queues, handle tie scenarios by drawing three extra cards, detect repeated game states to avoid infinite loops, and return the winner (player 1, player 2, or draw) along with the total round count.

“My first instinct was to just throw everything into a list and simulate naively, which works until you realize cycles are a real problem.”

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EvenUp·Software Engineer·Onsite - Behavioral / Leadership

Jul 2026
Behavioral screen for a software engineer role at EvenUp. Just one question but it had some teeth to it, they wanted a real story not a vague answer about staying calm under pressure.
  • How do you handle pressure or stressful situations at work like tight deadlines, production incidents, or conflicting priorities? Walk through your general approach and give a specific recent example including the situation, what you did, and what happened.

“This is the kind of question that sounds easy until you're in it and realize your example is kind of weak.”

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EvenUp·Software Engineer·Hiring Manager Screen

Jun 2026
Interviewed for a software engineer role at EvenUp, a legal tech startup in SF. The whole thing was basically a deep resume walkthrough, which sounds chill until you realize they want numbers and context for everything, not just a list of what you did.
  • Walk me through your resume starting from your most recent role. For each position, what was your scope, your most impactful accomplishments with measurable outcomes, and the biggest technical or organizational challenge you faced?
  • Explain your transitions between roles. What did you learn from each move, and what drew you to a late-stage startup like this one specifically?

“This took way longer than I expected.”

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EvenUp·Software Engineer·Recruiter / HR Screen

Jun 2026
Had a screen for a software engineer role at EvenUp where they asked me to explain an ML concept to a non-technical recruiter. Unusual format but kind of refreshing compared to grinding leetcode.
  • Pick an ML concept and explain it in plain English to a non-technical audience, using a real-world analogy and checking for understanding along the way.

“I went with overfitting because I figured the analogy would be easy to land.”

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EvenUp·Software Engineer·Recruiter / HR Screen

Jun 2026
Screening question for a software engineer role at EvenUp. Just the standard 'why are you looking' prompt, nothing technical.
  • Why are you looking to leave your current role?

“The advice here is to not trash your current employer, which, fair.”

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EvenUp·Data Scientist·Take-home Assignment

May 2026
Take-home modeling task for a Data Scientist role at EvenUp. The assignment was a classic wine quality prediction problem on a clean CSV, covering EDA, feature selection, model building, and feature importance. Pretty well-scoped for a take-home, nothing too surprising.
  • You're given a red wine dataset. What do you learn from exploring it? Walk through at least three concrete findings from distributions, outliers, correlations, or target imbalance, and explain how each one shapes your modeling decisions.
  • Before fitting any model, which features do you think will be most predictive of wine quality, and what are two different ways you'd assess that?
  • Build a model to predict wine quality. Justify whether you frame it as regression, classification, or ordinal classification, describe your validation strategy, and state your evaluation metric.
  • After fitting your final model, how do you determine which features are actually driving predictions? What method fits your model choice, and what pitfalls should you watch out for?

“This is the part I actually enjoy but also the part where I tend to over-explain.”

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EvenUp·Software Engineer·Technical Phone Screen

Apr 2026
Interviewed for a Software Engineer role at EvenUp and got a string compression coding problem. Pretty standard algorithmic question but the in-place constraint is where people usually trip up.
  • Given an array of characters, compress it in place using run-length encoding: single characters stay as-is, repeated characters get replaced by the character followed by the count as individual digits. Return the new length. You must use constant extra space.

“The two-pointer approach is the way to go here.”

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EvenUp·Software Engineer·Recruiter / HR Screen

Apr 2026
Recruiter screen for a software engineer role at EvenUp. Pretty standard stuff, four questions, nothing that should trip you up if you've done a few of these before.
  • Why are you looking to leave your current job?
  • Tell me about a time you failed or something didn't go the way you planned.
  • How do you deal with pressure or working against tight deadlines?
  • Can you explain a machine learning concept in simple terms, as if you were talking to someone non-technical?

“I had a decent answer ready but rambled a bit toward the end.”

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