Data Engineer Intern
Data Engineer / Analyst Intern
Turn messy operational data into the signal that drives decisions.
About Us
We're a group of affiliated law firms and legal technology ventures building modern, tech-forward practices across estate planning, business transactional work, litigation, patent law, and AI-powered legal education. Interns joining us don't work inside a single silo — they plug into a connected ecosystem where legal work and product development happen side by side.
Our four ventures:
- Legacy First Law (LFL) — Boutique firm focused exclusively on estate planning and business transactional work. Wills, trusts, powers of attorney, entity formation, operating agreements, and contract work for families and closely held businesses.
- Amicus Lex Law (ALX) — Litigation-oriented firm handling probate, estate pre-litigation, business pre-litigation, and personal injury matters. Strategy-driven work focused on shaping outcomes before cases escalate.
- Thaler IP Law — Patent firm with a dedicated AI patent practice. Full patent lifecycle work plus specialized focus on protecting machine learning systems, model architectures, and AI-enabled inventions.
- Law School AI — AI platform that teaches people about law and provides legal information without requiring them to attend law school. A product-first venture building tools that make legal knowledge accessible to anyone.
When you apply, tell us which role(s) you're interested in and which venture appeals to you — we'll place you where the fit is strongest. You may also work across multiple ventures depending on project needs.
What You'll Do
- Build and maintain data pipelines that pull from internal systems, third-party tools, and operational sources
- Design clean data models and keep the source of truth actually true
- Produce dashboards, reports, and analyses that real people will use to make real decisions
- Apply AI and ML techniques where they add insight — classification, summarization, extraction, embedding-based search
- Partner with attorneys, operations, and engineering to define the questions that actually matter
- Document data definitions and pipelines so the work survives after the internship
Where You Might Work
- LFL: Practice analytics, matter performance reporting, and client lifecycle data
- ALX: Case outcome analysis, damages modeling, and intake-to-resolution pipeline data
- Thaler IP Law: Patent portfolio analytics, prior art pipelines, and AI-driven technical disclosure analysis
- Law School AI: User learning analytics, content performance, and data pipelines feeding the platform's AI features
You're a Good Fit If You
- Have strong SQL skills and fluency in Python (pandas, numpy) or equivalent
- Have experience building pipelines, working with APIs, and wrangling data that didn't come out clean
- Have practical experience applying AI/ML — LLMs for text work, embeddings for search, or ML models for prediction/classification
- Are comfortable with data visualization tools and have an eye for what makes a chart actually useful
- Are curious, methodical, and willing to double-check your own numbers before presenting them
What We Offer
• Real data problems tied to real business decisions
• Room to experiment with AI-driven analysis and automation
• Mentorship from a team that values clarity and rigor
• Remote, flexible hours
• A portfolio of analyses and pipelines you built end-to-end