# Should your legal team build its own AI tool? | Wordsmith > Build or buy legal AI? The four key questions every legal team should answer before building its own tool. Canonical URL: https://www.wordsmith.ai/blog/should-your-legal-team-build-its-own-ai-tool Sep 11, 2026ARTICLE ## Should your legal team build its own AI tool? Build or buy legal AI? The four key questions every legal team should answer before building its own tool. ![Build or buy legal AI: Wordsmith article cover reading "Build or Buy?"](https://cdn.sanity.io/images/fzjkft9j/production/52946f3ec77fc4a98b518a38c3aa7e8c2cc31876-3840x2160.png?w=3840&fit=max&fm=webp&q=90) One of our customers is among the biggest companies in the world, and it builds almost everything itself. That culture is much of why it grew so fast. So when its legal team needed help, the first instinct was to build. The need will be familiar. Requests reached the lawyers from every part of the business, the same questions arrived weekly, and the team spent its time on triage instead of the work only a lawyer can do. What legal needed was not a chatbot. It was a system that took in requests from the business, answered from the company's own contracts and positions, and kept a lawyer in review before anything went back. General-purpose AI, already rolled out across the company, could draft but knew none of this. The engineers were confident they could close that gap, and they were right about the first version. So the company ran a three-month evaluation of building against buying. Its engineers went through the product with ours piece by piece: intake, permissions, grounding in its own documents, review, and the effort to keep each current. They chose to buy. For a company that builds by reflex, that is not a small decision. So why? #### **A demo is not a tool.** Any capable team can produce a demo that answers questions about a contract. A tool has to do it every day, when the model is retired and the connection changes, with someone reviewing the output and someone on call. The company's own conclusion was that keeping such a tool alive meant creating a company within a company. MIT researchers found in 2025 that tools bought from outside partners reached deployment about 67% of the time, against roughly a third for tools built internally. ([MIT Project NANDA, 2025, via Fortune](https://fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo/)). The reason is seldom talent. Legal is rarely engineering's first customer, so sprint time follows revenue, the engineer who built it moves on, and the tool falls behind while people still rely on it. #### **Owning the tool does not move the accountability.** The Solicitors Regulation Authority put it plainly: those who use AI in legal work remain accountable for the output "regardless of how that work has been prepared" ([SRA, 2026](https://www.sra.org.uk/solicitors/guidance/misuse-ai/)). That duty stays with you either way. What changes is how much of the machinery around it you build and evidence yourself. Whoever runs the tool has to show that access is controlled, changes are managed, activity is logged, and your data is not training anyone's model. A mature vendor has already built those controls and can show independent evidence that they work, typically a SOC 2 Type 2 report that takes a first-time provider six to fifteen months. Buying does not remove that work. It shrinks it to assessing the vendor's evidence and governing your own use, rather than building the controls from nothing. #### **What a build actually commits you to.** Building makes sense when the capability is strategic, a permanent product team can own it, requirements cannot be met by configuration, or data-residency rules exclude vendors. Most legal teams meet none of those conditions. For them, four questions decide it: 1. Who owns this in year two, and is it their whole job? 2. Where does a lawyer review the output before it leaves the team? 3. How does it stay current with your playbooks without an engineer in the loop? 4. Who carries security and audit, and will they sign a contract saying so? If the answer to most of these is "us, eventually", you have chosen to build the infrastructure of a software company, whatever you meant to choose. A company that builds everything asked them and decided its lawyers' time was worth more than the exercise. That is not a retreat from ambition. It is the discipline it applies to everything else, pointed at legal. ### **Where that company ended up.** The legal team in this story runs on Wordsmith, alongside legal teams at Starling Bank, the Financial Times, Belron, Canva and BT. The wider business now raises requests and handles standard agreements itself, inside the tools it already used, while lawyers review contracts against shared playbooks so the approach is the same in every jurisdiction. That is the four questions answered: Wordsmith owns the platform and its upkeep, a lawyer reviews before anything leaves legal, it is grounded in your own playbooks and documents, and permissions and audit logs are built in, backed by audited controls and contractual commitments. If you are weighing a build, bring the four questions with you and put them to us. [Book a demo](https://wordsmith.ai/demo?utm_source=website&utm_medium=blog&utm_campaign=buyvsbuild). 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