Do Less With Less: Why I'm Building LegalOperator

In 2019, I sold SimpleLegal to Onit. We'd built it into a platform that processed over $1B in legal spend and managed nearly 500,000 matters for corporate legal teams worldwide.

After a couple years helping transition the company to new management, I took some time off. Then I went into learning mode. I started working with startup CEOs with very different skillsets than mine. I started paying attention to what AI could actually do. The hype is fun, but the real capabilities are far more interesting.

And while I watched the legal ops space change as interest rates climbed up from ZIRP, here's what I realized:

The work that never should have been work

Before a matter even exists, there's a question.

Someone in sales needs to know if a contract clause is standard. Someone in HR wants to confirm the company's policy in the EU. Someone in product has a compliance question about a new feature. Someone in finance wants to know if they can sign a mutual NDA without legal review.

Those questions go to Slack, email, or hallway conversations. The GC or one of their lawyers drops what they're doing to answer. Then they context-switch back to the contract they were drafting, or the board deck they were reviewing, or the deposition they were preparing for.

Multiply that by every deal and every business unit across all the employees covered by a 3-person legal team, and you have a department that is constantly pulled away from the work that actually requires a lawyer.

The frustrating part? Most of those questions have already been answered. Last week. Last month. By a different lawyer on the same team. Maybe by the same lawyer. The answers live in emails, Slack threads, old tickets, and people's heads.

What AI actually changes

I'm not interested in AI as a talking point. I'm interested in what it can do that wasn't possible two years ago.

Here's what's new: an AI that knows your company's policies, your approved guidance, and your standard answers can handle the vast majority of those repetitive questions instantly. Not in a separate app. In Slack. In email. In Teams. Wherever your employees already ask the question.

The rest get escalated to a human, with full context. The lawyer sees the question, the attempted answer, the employee's follow-up, and the policy documents the AI pulled from. They pick up where the AI left off instead of starting from zero.

The result isn't that legal does more. It's that legal does less. Fewer interruptions. Fewer repetitive questions. Fewer "can you take a quick look at this?" DMs. More time for the work that actually requires a lawyer.

An example

Imagine a sales rep is negotiating a deal and the prospect is pushing for a higher cap on your company's liability. Today, that question goes to legal. A lawyer reads the request, thinks about it, maybe searches old tickets to see what was decided last time, and replies in an hour or three.

With an AI front door:

• The rep asks in Slack: "Customer wants to cap our liability at 3x annual fees. Standard or not?"
• The AI checks your playbook and answers in 30 seconds: "Our standard cap on our liability is 2x annual fees. 3x is above standard and requires legal approval. I've flagged this as a request for legal review and included the customer's full request."
• A lawyer gets pinged only when the rep wants to push for the exception — and they get the full context when they do.

No one filed a ticket. No one wrote a long email. No one waited an hour. The rep keeps moving. The lawyer only gets involved when their judgment is actually needed.

That's what "do less with less" looks like.

Why this is built for the teams that actually need it

There are legal tech platforms that cost $40,000 a year and take six months to implement. They're built for 50-lawyer departments at Fortune 500 companies. They're not built for you if you're a 3-person team covering a 500-person company.

I built LegalOperator for the legal ops teams I spent a decade working with before my last company. It's for the 3–5 person teams doing the work of 10. The ones who can't justify a $40K platform but desperately need leverage.

• It lives in Slack, Teams, Zoom Chat, and email. No new app for your employees to learn. They ask questions the way they already ask questions.
• It costs $200/month. Plus $20/month per lawyer who wants full access. Setup is a one-time $1,000. All published on our website.
• It goes live in days, not months. Upload your policies and playbooks — or connect your existing Notion workspace and let LegalOperator use your Notion pages as a live knowledge base source. Point it at a Slack channel or an email address, and it's answering questions. We also integrate with Jira, so escalations and tracked matters can flow into the systems your team already uses.
• You stay in control. You define what the AI can answer. You see every question and every answer. You escalate when judgment matters.

If this sounds like your team

I'd love to show you what we've built. There's no 45-minute sales call. There's no gatekeeping demo. If you want, I'll set up a demo account with your own public policies so you can email questions to it and see what it does with your content.

Request a demo or see our pricing — it's published, because hidden pricing is a sign that a vendor values their margins more than your time.