Law Librarian
Lawhive is hiring a Law Librarian for a remote role open to applicants in United States. It pays $120k-$150k a year and Level rates it ; you can apply on Lawhive.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- This is listed as a remote role.
- The posting mentions Westlaw, Lexis and Bloomberg Law among its tools and skills.
- Lawhive has 7 other open roles on Level.
- Posted within the past two weeks.
AI in this role
Law Librarian needed to conduct legal research and evaluate, fact-check, and train AI legal agents at Lawhive.
Salary: $120,000-$150,000 + share options
About Lawhive
Lawhive is a global, AI-native law firm. Operating in the US and UK, we’ve built our own agentic operating system for legal services.
We partner with leading Main Street law firms to give lawyers and back-office teams the AI platform, marketing, and operational support to grow faster than they could alone. Our specialized AI agent for legal work, Lawrence, works alongside lawyers, putting human legal judgment right where it belongs: at the center of every matter.
We're backed by a $60M Series B at a $685M valuation, from investors including Google Ventures, TQ Ventures, Mitch Rales, Balderton Capital and Premier League footballers Harry Maguire and Reece James. In the last few years we've hit milestone after milestone, raising over $110M in funding. Today, we're on track to exceed $100 million in annual revenue, and we have offices in London, New York, Austin, and Phoenix.
So if you want your work to have real, tangible impact as we redefine an entire industry, Lawhive is where you can make it happen.
The Role
This is a unique role. As Law Librarian at Lawhive, you will be the research and knowledge backbone of our US legal practice, blending traditional law librarianship with training and evaluating our AI agent, Lawrence.
You will conduct deep legal research, check statutes and case law, build and maintain our library of precedents and templates, and manage the taxonomy, databases and knowledge-sharing that our attorneys rely on every day. Alongside this, you will help ensure and enhance the quality of Lawrence, our AI-powered legal platform, by reviewing AI-generated legal content and checking that its citations, statutes and references are accurate and up to date.
Key Responsibilities
Conduct in-depth legal research, statutory checks and case law analysis to support our attorneys across practice areas
Structure and maintain our internal document archive, including precedents, templates and practice guides
Build and manage our legal taxonomy so knowledge is easy to find and consistently organised
Manage access to legal research databases (e.g. Westlaw, Lexis, Bloomberg Law) and support attorneys in using them effectively
Share knowledge across the group’s firms through research memos, current-awareness updates and training
Review legal content, drafts and responses produced by our AI agent, Lawrence, for accuracy and legitimacy
Fact-check legal citations, statutes and references generated by the platform, flagging errors and outdated authority
Partner with our AI, Product and Engineering teams to feed back on quality issues and help improve how Lawrence handles legal research
What You’ll Bring
An MLIS/MLS or equivalent qualification; a JD is a bonus
Experience as a law librarian, legal research analyst or similar role in a law firm, law school, court or legal publisher
Expert command of US legal research methods and tools
A proven interest in AI and how it can be used to improve the legal system; hands-on experience with legal AI tools is a bonus
Experience organising legal knowledge (precedent banks, taxonomies, intranets or knowledge management systems)
Meticulous attention to detail and a high standard for accuracy
Excellent verbal and written communication skills with the ability to articulate complex concepts clearly and effectively
Highly motivated, proactive, and able to thrive in a fast-paced environment
Strong problem-solving skills and the ability to prioritise competing research requests
Previous experience in a start-up or scale-up environment considered a bonus
Interview process
Introductory call with our Talent team
Interview with your hiring manager and founding AI Engineer
Values interview with one of our Founders
We offer!
Benefits
🩺 Healthcare benefits: 'Premium' plan with 100% employee cover and 50% dependent cover
✈️ Vacation: 20 days + 11 Federal holidays + 1 day of Birthday leave
💰 401k: Matching contribution up to 2% of salary
💰 Meaningful early-stage share options
🌍 Work from anywhere for a month
💻 Top-spec Macbook
⛳️ Regular team building activities and socials!
Diversity at Lawhive
At Lawhive we know that diversity of thought is critical to delivering outlier outcomes. As such, we’re always working hard to ensure we build a diverse, inclusive team. We’re not yet where we want to be but as we scale we’ll only ever increase the focus we apply to this.
How we rate this
Law Librarian at Lawhive rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where legal research was part of your work. What did you do?
- Tell me about a project where fact checking was part of your work. What did you do?
- Tell me about a project where knowledge management was part of your work. What did you do?
- Tell me about a project where prompt evaluation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Legal Research, Fact Checking, Knowledge Management, and Prompt Evaluation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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