Data & Analytics Intern

Posted 4 Days Ago
Be an Early Applicant
Stockholm, SWE
In-Office
Internship
Artificial Intelligence • Legal Tech • Software
Collaborative AI for exceptional lawyers
The Role
As a Data & Analytics Intern, you'll design and deploy an internal analytics agent, integrating it with the data warehouse and ensuring it learns from user interactions.
Summary Generated by Built In
About Us

Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar.
Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes.
1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview.
We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law.
Joining Legora means three things.

  • We lean in: ownership over titles, outcomes over intentions.

  • We fight for excellence: high standards, direct, ego-free feedback.

  • We grow together: as a team and with our customers.

Mission before ego. Everyone contributes. No one coasts.

If you’re driven by impact, pace, and raising the bar. This is the place.

As a Data & Analytics Intern at Legora, you'll spend the summer building something real: an internal analytics agent that the rest of the company can actually use. Think of this as a role that sits squarely between software engineering and data science — you'll be designing and deploying an agentic system on top of our data stack, not prototyping something that lives in a notebook.
The agent you build should be able to answer questions about our business, navigate our data models, and get better the more it's used. You'll own the project end-to-end: scoping, building, deploying, iterating with real users on the data team and beyond. You'll be supported by senior data and engineering folks, but the direction and the build are yours.

This is a hands-on, ship-it summer. The bar is that what you build is still in use after you leave.
What you will be doing:

  • Design, build, and deploy an internal analytics agent that helps Legora employees explore and understand our data.

  • Architect the agent so it improves over time — retaining context across conversations, learning from prior interactions, and getting smarter the more it's used.

  • Integrate the agent with our data warehouse (Snowflake), semantic layer, and dbt models so it can answer questions grounded in real, modelled data.

  • Build the surrounding infrastructure: evaluation harnesses, observability, guardrails, and a deployment pipeline that lets the agent evolve safely.

  • Partner with data, product, and engineering to shape what the agent should do — and what it shouldn't.

  • Ship iteratively, gather feedback from real internal users, and improve the system on a short loop.

Who you are

  • Currently studying or recently completed a degree in Computer Science, Engineering, Data Science, or a related technical field.

  • You've built and deployed agentic systems before — not just called an LLM API in a script, but designed agents with tools, state, and real production constraints in mind.

  • Comfortable across the stack: you can write production Python, you understand how to model data (dbt, SQL, warehouse design), and you've worked with modern LLM frameworks and orchestration tools.

  • You think like an engineer about reliability, evaluation, and iteration — not just like a prototyper.

  • Familiarity with at least some of: dbt, Snowflake (or similar cloud warehouses), semantic layers, vector stores, LLM observability tooling, and modern agent frameworks.

  • A bias toward shipping. You'd rather get something crappy in front of users in week two than have something perfect in week ten.

  • But most importantly, you are someone who

  • "Gets stuff done" and understands building a $10bn company isn't always glamorous and takes hard work and long hours

  • Strives in a fast-paced environment where the answers aren't always clear and processes are few


Practicals & Logistics

Location: Stockholm HQ, on-site
Duration: Summer 2026 (exact dates flexible)
Team: Data & Analytics, sitting close to Engineering & Product

 

Legora is an Equal Opportunity Employer

At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.

Skills Required

  • Currently studying or recently completed a degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Experience building and deploying agentic systems under production constraints.
  • Proficiency in production Python and data modeling (dbt, SQL).
  • Familiarity with tools like Snowflake, semantic layers, vector stores, and LLM observability tooling.
  • Ability to ship iteratively and work in a fast-paced environment.

Legora Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Legora and has not been reviewed or approved by Legora.

  • Healthcare Strength Feedback suggests the package includes comprehensive medical, dental, and vision coverage with access to additional health services. Indications of wellness-oriented offerings point to above-average healthcare breadth.
  • Leave & Time Off Breadth Feedback suggests U.S. roles provide unlimited PTO alongside generous parental leave. These provisions indicate meaningful time-off flexibility.
  • Retirement Support Feedback suggests a 401(k) plan with company match is available. This signals long-term financial support beyond salary.

Legora Insights

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The Company
HQ: Stockholm
780 Employees
Year Founded: 2023

What We Do

Our mission is to empower exceptional lawyers. We’re building the world’s first truly collaborative AI for legal professionals: a workspace for boundless collaboration between lawyer ingenuity and machine intelligence. We're serving 1000+ clients across the globe and are backed by Bessemer Venture Partners, ICONIQ, General Catalyst, Benchmark, Redpoint, Y Combinator, and other top investors.

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