Type · code-quality
Refactor the following Python code snippet, which processes legal document metadata, to improve its readability, maintainability, and testability. Explain your changes.
How to Pass the Harvey Software Engineer Interview in 2026
The Harvey DNA (TL;DR)
Harvey's focus on enabling a 'New Era of Collaboration for Legal' means they assess candidates' ability to conceptualize and build AI solutions, like Harvey Agents or Contract Intelligence, that genuinely transform legal workflows. They seek individuals who can articulate how their work directly creates 'Impact on Your Firm' through innovative AI applications.
The Harvey Interview Loop
Your onsite loop will typically consist of 5 rounds.
- 1
Round 1
Recruiter ScreenMotivation, role fit, logistics. - 2
Round 2
Coding ScreenLeetCode-medium algorithmic problems under time pressure. - 3
Round 3
System DesignDistributed systems, trade-offs at scale, architecture under constraints. - 4
Round 4
Onsite CodingLeetCode-hard, debugging, code clarity, edge cases. - 5
Round 5
Behavioral / LeadershipPast evidence of ownership, influence, resolving conflict.
The Danger Zone: Top Reasons Candidates Fail
Based on our database of Harvey interview outcomes, avoid these common traps:
- Generic answers not specific to Harvey or the legal tech industry.
- Not being able to articulate their own technical reasoning clearly.
- Failing to design for fault tolerance and scalability (e.g., no load balancing, single points of failure).
- Incorrectly handling overlapping time intervals or edge cases (start/end at the same time).
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Every round, the exact grading rubric interviewers score against, all the questions, and unlimited mock-interview practice. Free account, no credit card.
Test Yourself: Real Harvey Questions
Three real prompts pulled from our database.
Type · data-structures
Implement a function that takes a list of timestamps representing legal case events and returns the number of active cases at any given point in time. Assume each event is either a case start or a case end.
Type · architecture
Design a real-time document summarization service for legal briefs. Consider aspects like ingestion, processing, summarization model integration, and API design. How would you ensure low latency and high availability?
+ many more questions, signals, and worked examples
Sign up to unlock the full Harvey grading rubric
Harvey Interview Question Bank
A sample from our database, grouped by round. Sign up to see the full set.
9 of 16 questions shown
1
Recruiter Screen
1- 1
Type · motivation
What interests you most about working at Harvey, and how do you see your skills contributing to our mission of empowering legal professionals with AI?
2
Coding Screen
3- 2
Type · algorithmic
Given a list of legal documents (represented as strings) and a query string, find all documents that contain the query string, ignoring case and common punctuation. Optimize for performance, especially with a large number of documents. - 3
Type · data-structures
Implement a function that takes a list of timestamps representing legal case events and returns the number of active cases at any given point in time. Assume each event is either a case start or a case end. - + 1 more questions in this round (sign up to unlock)
3
System Design
3- 4
Type · architecture
Design a real-time document summarization service for legal briefs. Consider aspects like ingestion, processing, summarization model integration, and API design. How would you ensure low latency and high availability? - 5
Type · scalability
Imagine Harvey's user base grows by 10x in the next year. How would you scale our document storage and retrieval system to handle this increased load? What are the potential bottlenecks? - + 1 more questions in this round (sign up to unlock)
4
Onsite Coding
3- 6
Type · debugging
A user reports that search results for a specific query are intermittently missing relevant documents. The system uses a distributed search index. Walk me through how you would debug this issue. - 7
Type · code-quality
Refactor the following Python code snippet, which processes legal document metadata, to improve its readability, maintainability, and testability. Explain your changes. - + 1 more questions in this round (sign up to unlock)
5
Behavioral / Leadership
6- 8
Type · conflict resolution
Tell me about a time you had a significant disagreement with a colleague or manager. How did you approach the situation, and what was the outcome? - 9
Type · ownership
Tell me about a time you took ownership of a project or a feature that was critical to the team or company, even if it wasn't explicitly assigned to you. - + 4 more questions in this round (sign up to unlock)
Unlock all 16 Harvey questions, free
No credit card. Every question with its framework, the grading signals interviewers score against, and a worked answer for each.
Interview tracks at Harvey
How Harvey's DNA translates across functions. Pick your role.
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Practice Harvey interviews end-to-end
Harvey Mock Interview
Run a live mock interview with our AI interviewer using Harvey-style prompts. Get scored on structure, signal, and answer length - exactly how the real loop grades you.
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STAR Stories for Harvey Behavioral Rounds
Build a Story Bank of your past wins, mapped to the leadership signals Harvey interviewers grade on. Reuse them across every behavioral round.
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Harvey Interview Prep Hub
The frameworks behind every Harvey round: CIRCLES for product sense, hypothesis-driven debugging for analytical, STAR for behavioral. Learn each one in 10 minutes.
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Interview Frameworks
CIRCLES, STAR, AARRR, RICE, MECE. The exact frameworks that make Harvey interviewers nod instead of frown. Step-by-step playbooks with the moves and the pitfalls.
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Sample answers
What a strong answer to these Harvey interview questions shows.
Refactor the following Python code snippet, which processes legal document metadata, to improve its readability, maintainability, and testability. Explain your changes.
A strong answer shows: Applying design patterns appropriately.; Improving modularity and reducing code duplication.; Writing clear, concise code with good naming conventions..
Implement a function that takes a list of timestamps representing legal case events and returns the number of active cases at any given point in time. Assume each event is either a case start or a case end.
A strong answer shows: Use of a sweep-line algorithm or similar approach.; Proper sorting and processing of events.; Correct handling of interval boundaries..
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