AI Agents for Legal Services

Contract review cycles are where deals slow down and clients get frustrated. A standard commercial contract goes to the attorney. They mark it up over 2-3 days. It goes back to the other side. Their attorney takes another 3 days. Your client is waiting 2 weeks for a contract that should close in days. The bottleneck isn't legal analysis -- it's the manual process of reading every clause, comparing against standard terms, and flagging deviations. The substance takes 30 minutes. The reading takes 3 hours.

Billing disputes erode client relationships. Your attorney worked 4.7 hours on a matter. They logged 3.5 because they forgot to track the 45-minute research session and the 2 phone calls. The invoice goes out low. Or worse -- they round up, the client questions it, and now you're justifying your billing instead of practicing law. Accurate time capture shouldn't depend on human memory.

Court deadlines across multiple cases and jurisdictions are a malpractice risk. Your firm handles 80 active matters. Each has its own discovery deadlines, motion due dates, and statute of limitations. Miss one and you've committed malpractice. Track them in a spreadsheet and you're one human error away from a claim. Most firms rely on the attorney to remember and the paralegal to double-check. That's a system built on hope.

I build agent systems for legal practices that protect revenue and prevent risk. A contract analysis agent that flags non-standard clauses and deviations from your template terms. A billing agent that prompts attorneys for time entries throughout the day and generates accurate invoices. And a deadline agent that tracks every critical date across all matters with escalating reminders.