Build the future of legal intelligence
We're assembling a team of engineers, legal analysts, and operators who believe technology can fundamentally change how legal violations are detected and how justice is accessed.
Our values
Impact Over Output
We measure success by litigation outcomes influenced, not tickets closed. Every feature we build, every analysis we deliver, has a direct line to real-world justice.
Precision at Scale
We operate at the intersection of institutional rigor and technological ambition. Our work must meet the standard of the Am Law firms and institutional investors we serve.
Intellectual Honesty
Legal intelligence demands accuracy. We build systems that quantify uncertainty, flag weak signals, and never overstate confidence. Getting it right matters more than getting it fast.
Deep Collaboration
Engineers sit with legal analysts. Product works alongside business development. The best ideas emerge when domain expertise and technical capability share the same conversation.
What we offer
Current openings
Senior ML Engineer — Violation Detection
Design and train anomaly detection models that identify legal violations across regulatory filings, financial disclosures, and consumer data at scale. You'll work at the intersection of NLP, graph neural networks, and legal domain knowledge.
- 5+ years ML/AI experience with production systems
- Experience with NLP, information extraction, or knowledge graphs
- Comfort with ambiguity — legal violation patterns are noisy
- Python, PyTorch/JAX, distributed training experience
Full-Stack Engineer
Build the platforms that plaintiff attorneys and litigation funders use to evaluate and act on Koladin intelligence. You'll own entire features end-to-end — from data ingestion pipelines to interactive dashboards.
- 4+ years full-stack experience (React, Node/Python)
- Experience building data-intensive applications
- Strong product intuition — you think about the end user
- Bonus: legal tech or fintech background
Data Engineer — Web Intelligence
Build and maintain the large-scale data pipelines that power Koladin's detection engine — ingesting, normalizing, and enriching data from 50+ source categories including court dockets, SEC filings, and web tracking analysis.
- 4+ years data engineering (Spark, Airflow, dbt)
- Experience with web scraping and data extraction at scale
- Familiarity with semi-structured data and entity resolution
- AWS/GCP infrastructure experience
Don't see the right role?
We're always interested in exceptional people. Send us a note describing what you'd build at Koladin and why.
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