‘We’ve built an attorney supervision platform so that clients no longer have to choose between expensive, slow, traditional legal services, where they have to wait for lawyers to be in office to get to their questions, and risky and inexpensive open large language models. We’re trying to give MSPs an alternative that gives them the full power of LLMs without losing the supervision of experienced and licensed attorneys,’ says Rob Scott, Monjur CEO and co-founder.
Monjur, a developer of technology for helping MSPs develop and manage their customer contracts, on Monday is slated to introduce Monjur Pilot, which brings AI capabilities aimed at helping MSPs more easily answer contract questions, automatically redline issues, and manage negotiations.
Monjur Pilot is built on a proprietary document library, a secure AI-powered platform, and the experience of working with over 1,000 MSPs, said Rob Scott, CEO and co-founder of the Southlake, Texas-based company.
Manjur is a legal service designed to protect MSPs primarily through offering customer contracting solutions that allow them to turn their quotes or proposals into enforceable contracts, Scott (pictured above) told CRN.
[Related: Lawyer To MSPs: Make Your Master Services Agreement Your ‘Constitution’]
“We are able to keep our clients protected because of the dynamic ability of our contracts and the way we update them,” he said. “So instead of a static agreement that we used to ship years ago, like traditional legal services would do today, our cloud-based approach allows us to dynamically update the contracts that live in our client sales tools like proposals and quotes and CRM tools. And we’re able to integrate managers’ agreements into those tools so that when quotes or proposals go out, they have the proper, fully updated and fully compliant agreements related to the services being sold.”
Monjur introduced Monjur Pilot during this week’s XChange 2026 conference in Orlando, Fla. XChange is run by CRN parent The Channel Company.
The market for legal services for MSPs is as big as the number of MSPs, which is estimated to be about 40,000 in the U.S. alone, with another 6,000 or so in Canada, Scott said.
“And so we feel like with our 1,000 MSPs we have today, we’ve got a lot of runway and a lot more people to protect,” he said.
Monjur also plans to expand to Mexico and Europe. Scott said the company already localizes its contracts.
Monjur in its essence is actually a law firm, Scott said. It is a wholly-owned subsidiary of Scott & Scott LLP, and is actually the SaaS platform of the law firm. Scott & Scott provides the legal services while Monjur provides the tech stack subscription, he said.
The latest version of its technology, Monjur Pilot, brings AI to the MSP contract process, Scott said.
Monjur’s cloud-based platform excels in serving up the agreements to the MSPs’ end users, he said.
“We’ve built an attorney supervision platform so that clients no longer have to choose between expensive, slow, traditional legal services, where they have to wait for lawyers to be in office to get to their questions, and risky and inexpensive open large language models,” he said. “We’re trying to give MSPs an alternative that gives them the full power of LLMs without losing the supervision of experienced and licensed attorneys.”
Scott acknowledged that AI is still relatively new, subject to hallucinations or security issues.
“Hallucination was one of the biggest challenges that we had to face in the development of Monjur Pilot,” he said. “What we learned is that for legal outputs, traditional large language models are unsafe and unreliable and aren’t legal-grade when it comes to accuracy. Where we made some gains is in reconceiving the architecture into a RAG approach where we were able to create a context-limited retrieval mechanism that’s focused only on our legal templates and our knowledge bases, and so it doesn’t have the context of the internet and all these other things.”
Monjur also developed a proprietary confidence score that ensures the legal AI assistant does not answer questions incorrectly, Scott said.
“Have you ever prompted an LLM and it said, ‘I don’t know the answer?’” he said. “No. Well, with Monjur Pilot, if it doesn’t know the answer, it tells you it doesn’t know the answer. We address the gaps through our architecture using RAG and through our proprietary confidence scoring system that makes sure the AI doesn’t answer unless it’s sure.”
As Monjur made the transition from cloud-native legal agreements to AI knowledge bases, the company was able to enrich those agreements with not only plain English explanations, market commentary, and jurisdictional considerations, but also alternative clauses, Scott said.
“If one of our clients is in a negotiation on an esoteric legal issue like limitation of liability, these legal assistants can walk them through an editing or red-lining exercise so they can actually do it without having to involve a lawyer,” he said. “As long as they stay within the pre-approved alternative clauses that come with each of these agreements, they don’t need to check with the human lawyer. The legal assistant can walk them through the edits to the changes based on the pre-approved alternatives, and that’s a real game changer for saving our clients money and time.”
Todd Swaney, chief operating officer at Centre Technologies, a Houston-based MSP ranked No. 277 on the CRN 2025 Solution Provider 500, told CRN that his company started working with Monjur after its CISO retired early.
“Typically, our CISOs did our contracts,” Swaney said. “They just seemed to have that skill set. And then we paired them with outside counsel. Our CISO retired early, and the new CISO didn’t have that skill set, so I had to own it for the first time. I told the executive team, if you want me to own it, we have to do something different. I found Monjur and partnered with them and loved their contract stack. We went from, I think, from 14 contracts in our stack down to seven, and that included AI. It greatly simplified it. I could understand it. So it really resonated with the type of customer experience that we wanted to provide to our customers.”
Despite industry-wide concerns about AI, legal tasks is really the low-hanging fruit for the technology, Swaney said.
“If there’s enough artifacts of legal evidence, then AI is perfect to apply to what really ends up being repetitive questions by prospects,” he said. There may be little nuances, but it’s perfectly suited to do the task.”
Prior to Monjur Pilot, Swaney said he built his own Microsoft Copilot legal agent.
“I took the Monjur stack, dropped it in there, told it my risk tolerance, and then instructed it to provide me maybe three solutions,” he said. “So I was actually using that for what I deemed low-level customer queries already before Monjur Pilot, and then for significant queries I would engage Monjur from a time and materials perspective.”
Where Monjur Pilot really stands out is the benefit of 15 years of Scott and Scott artifacts that Microsoft Copilot doesn’t have, Swaney said.
“Those aren’t ready on the internet,” he said. “I feel like I’m getting a Scott and Scott response based on all their expertise, and tuning their expertise specifically to an MSP, rather than something generic I would get from the generic internet.”
Ivan Burkett, director of information technology at GB Tech, a Houston-based MSP focused primarily on SMB customers, told CRN he found Monjur to be a breath of fresh air for his company.
“We were kind of listless and thought we knew what we were doing, until we got the professionals involved,” Burkett said. “That kind of showed us that we didn’t know what we were doing. But ever since then, we’re all operating from the same perspective. All of our agreements look the same, and all of our folks can recite them. In the past, we had agreements that were looking different everywhere.”
Monjur has streamlined a lot of things for GB Tech, Burkett said.
“It’s taken a lot of pressure off our contracts department,” he said. “And customer service support has been fantastic.”
The Monjur Pilot, like typical AI applications initially, had some kinks that could be worked out, Burkett said.
“But it has saved a lot of time,” he said. “Instead of having to try to read an agreement, going through and doing a search saying, what does my agreement say about this, or how do I circumvent this, or my customer may be doing X, is there any remedy, Monjur Pilot will go through, read the agreement and come back with the information from our agreement. There have been some hallucinations every now and then, which is to be expected with AI. But when we bring issues to support, they’re quick to correct them.”
Burkett said he is comfortable using AI with Monjur Pilot because it’s looking at GB Tech’s own documents in its own little container.
“I’m not really worried about security or anything like that,” he said. “If it gives me an answer that I don’t remember reading or seeing, I’ll go back and verify. It’s never going to supplant reading the agreements yourself at least once or twice. You always have to do that just so you have some familiarity. If a customer says something, you don’t want to say, ‘Oh, I never heard about that.’
Monjur originally found its niche in the MSP space when the organization was considering purchasing a Dallas-area MSP, Scott said. As part of that process, he said he met with Charles Weaver at about the time Weaver was building the MSP Alliance.
“So we got involved with the MSP Alliance when there were 300 members,” he said. “Now there’s, I think, 35,000 globally. My relationship with Charles Weaver was probably the biggest impetus for our focus on managed services. In the early 2000s, we started meeting with and representing MSPs. And over the years, the number one question that MSPs always ask us is for help with their customer contracts. I don’t ever remember having a first engagement with an MSP that wasn’t, ‘Helped me with my contract.’”
