We built an autonomous backoffice for in-house legal teams that handles the full contract lifecycle end-to-end — from first draft to final signature. It drafts, redlines, and negotiates in real time, playing both sides of a contract to catch risk before it reaches a human desk. The key difference: it works both ways. Human in the loop — your lawyers stay in every decision, with AI doing the heavy lifting. Human on the loop — it runs autonomously and flags only what matters. You choose the dial.
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Maker
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Hey PH 👋 — we've been quietly working with in-house legal teams for the past year, and the same problem kept surfacing: legal is the bottleneck, but not because lawyers are slow — it's because the tooling hasn't caught up.
Most "AI for legal" tools are glorified document search or copilots that sit on top of Word. We went further. Ours actually runs the negotiation — it can draft a contract, take the counterparty position, redline its own draft, respond to objections, and surface the final delta for a human to approve. End-to-end, with itself.
The human-in-the-loop vs. human-on-the-loop distinction matters a lot in legal. Some companies want a lawyer to touch every clause. Others just want escalation on non-standard terms. We built both modes into the core — it's not an afterthought.
Happy to answer anything — especially from anyone who's ever watched a routine vendor contract sit in a queue for three weeks. That's the thing we're here to kill. 🚀