AI Developer
Lawdie · Atlanta, GA; New York City, NY
Checked against dover. Still accepting applications.
- Location
- Atlanta, GA; New York City, NY
- Posted
Why Lawdie
Legal is one of the most regulated, highest-trust industries in the country — and one of the least automated. Lawdie is building the AI-native back office for law firms: billing, matter management, document generation, prosecution workflows, and agentic automation, replacing brittle point solutions with something firms can actually trust with their most sensitive work.
We've broken into the AmLaw 200. Multiple firms run on Lawdie today, and we're rapidly growing. We recently raised our first venture round & are raising our next round in the next few months. We're small enough that everything you ship touches real firms and real matters.
Role Overview
We're hiring an engineer to build and own legal tooling across our AI-powered workflow platform — working directly with legal and operations users at real firms, turning workflow friction into shipped product. You'll move between backend systems, LLM/retrieval pipelines, and the interfaces lawyers and staff actually touch.
What You'll Do
- Own and ship tools for intake, contract review, diligence, document search, structured extraction, and matter tracking
- Build across the stack in Python or TypeScript — APIs, databases, LLM APIs, retrieval, agents, document-processing pipelines
- Translate user pain points directly into product requirements, data models, and interfaces with minimal hand-holding
- Evaluate model output for accuracy, consistency, and missing context — and build the judgment for when a tool should hand off to a human
- Document decisions, edge cases, and safe-usage guidance for tools handling confidential legal work
What You Have
- 2+ years of professional software engineering experience, or an exceptional portfolio demonstrating equivalent ability
- Strong programming fundamentals and a track record of shipped work — GitHub, internship, class project, or live product
- Hands-on familiarity with LLMs, RAG, embeddings, prompting, agents, or model evaluation
- Comfort with PDFs, contracts, messy real-world data, and users who need tools that are simple and reliable, not clever
- Strong writing, product judgment, and genuine care handling confidential information
Nice to Have: React, Next.js, FastAPI, SQL/Postgres, vector databases, LangGraph, LlamaIndex, document AI pipelines, or exposure to legal ops, contracts, M&A, compliance, or law firm workflows
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