DeepLaw is building an AI agent that reviews contracts not just for legal risk, but for business context and personal values.
We believe legal review should be strategic, not just defensive. Imagine an agent that helps you spot misaligned assumptions, clarify power dynamics, and flag clauses that matter to you — not just your lawyer.
We're looking for a Founder-Minded Product Leader to co-create the product, shape early GTM, and take the lead on turning this vision into reality.
🧭 What You’ll OwnVision: Co-define what “value-aligned contract review” means — and how it could change how people think about deals.
User Discovery: Talk to 100+ founders, GCs, operators, freelancers — identify pain, workflows, and aha moments.
Product Direction: Turn vague questions into scoped prototypes and fast feedback loops.
Tech Strategy: Work closely with engineers to shape our approach (LLM agents? RAG? contract-specific fine-tunes?).
MVP Delivery: Lead zero-to-one development of our first usable, testable AI contract reviewer.
Positioning: Clarify our wedge — Legaltech? Productivity? Decision intelligence?
Have 5–10 years in product, founder, or early-stage startup roles — ideally across both technical and customer-facing work.
Think like a systems designer: how people make decisions, what contracts actually do, how AI can play a role.
Are AI-curious — not necessarily a researcher, but excited to work with LLM agents, prompt engineering, or fine-tuning paths.
Know how to find early traction — through pilots, scrappy GTM, founder-led sales, or side-channel distribution.
Bonus: background in legaltech, procurement, AI tools, or founder ops.
LLM agents (GPT, Claude, open models)
Contract parsing and retrieval (RAG, heuristics, embeddings)
Lightweight UX — possibly browser extension, Notion-style canvas, or doc viewer with inline feedback
You’ll shape the product, team, and market from zero. This is the earliest possible stage.
You’ll work directly with a technical co-founder/engineer (and help hire the next key people).
We’re not trying to replace lawyers — we’re building a new layer of intelligence for how people do deals.
