Harvey
Legal AI platform for research, drafting and document review at law firms
Interview in a few hours? A quick sprint for Harvey
AI in interviews
Harvey's engineering internship postings say the loop includes AI-assisted coding sessions where you work with tools like Claude Code, Codex or Cursor as you would on the job. Full-time postings don't state a rule, so ask your recruiter which rounds allow AI.
Typical interview loop
How Harvey usually runs it for applied AI and LLM engineer roles.
- Focus: Motivation, fit
Recruiter screen
A 15-30 minute call on your background, interest in legal AI and general fit.
- Focus: Why legal AI, experience
Hiring manager screen
About 45 minutes on your background, role fit and why you want to build AI for lawyers.
- Focus: Practical coding, pacing
Technical phone screen
Around 60 minutes solving a medium-or-harder, sometimes multi-part, coding problem in a shared editor, usually in Python.
- Focus: Working with AI tools
AI-assisted coding session
A coding session where you're expected to use AI development tools the way you would at work (stated for internship loops).
- Focus: RAG, document pipelines
Onsite: LLM system design and coding
Virtual onsite rounds on coding plus designing LLM applications over large document sets, such as retrieval with grounded citations and output checking.
- Focus: Collaboration, alignment
Behavioral and founder interview
A behavioral round on working with lawyers and handling ambiguity, plus a founder or executive chat for senior roles.
How it weights your plan
Selecting Harvey when you build a plan multiplies each topic’s priority score:
Official prep and resources
Public candidate write-ups
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