Private by Design Contract AI (the US, 2026)

Contracts are among the most sensitive documents a company owns. They contain pricing, terms, counterparties, trade secrets and personal data. So the question every serious buyer of AI contract software should ask is not only does it work, but is it safe to put our confidential contracts through this? The honest answer depends entirely on how the tool is built and what the vendor does with your data. This page sets out the real risks, the questions that actually separate a safe tool from a risky one, and how Adira is built private by design. It states the security posture plainly and marks what is not confirmed as not confirmed. ## The real risks, named plainly When you send a contract to an AI tool, three distinct risks are worth separating, because vendors often blur them. - Training on your data. The biggest concern is whether your contracts are used to train the vendor's models. If they are, fragments of your confidential terms could, in principle, influence outputs seen by other customers. This is the risk that keeps general-purpose chatbots out of many legal teams.

• Data in transit and at rest. Your contracts travel over the network and sit in storage. If either is unencrypted, it is exposed to interception or a breach.
• Access control. Even inside your own account, not everyone should see every contract. Without role-based access, a sensitive deal is visible to people who should not have it. There are also compliance dimensions: where your data physically lives (residency), how long it is kept (retention), whether access is logged (audit), and whether the tool meets the privacy regimes you operate under. A credible vendor addresses each of these specifically, not with a vague assurance that security is a priority. ## The questions that actually matter Marketing says secure and private freely. Here are the concrete questions that tell you whether it is true. Do you train your models on my contract data, yes or no? Is my data encrypted in transit and at rest? Can I control who on my team sees which contracts? Where is my data stored, how long is it kept, and is access logged? And which privacy laws does your policy actually address? If a vendor cannot answer these cleanly, that is your answer. ## How Adira is built private by design Adira's posture on each of these is specific. - It does not train on your contract corpus. This is the central point. Adira does not train its models on the customer contract corpus. Your contracts inform your own private company persona, under your control, and are not used to train a model shared with others.
• Encryption. Data is encrypted in transit and at rest.
• Role-based access controls. You control who on your team can see and act on which contracts, rather than everyone seeing everything.
• Enterprise controls. The Enterprise tier adds single sign-on via SSO and SAML, audit logs, and data residency and retention controls, which are the features a larger or regulated organization needs to satisfy its own compliance team.
• Privacy coverage. Adira's privacy policy addresses GDPR, UK GDPR, CCPA and CPRA, PIPEDA and the Australian Privacy Act and APPs, so a company operating across those regimes can see how it is handled. There is one honest caveat on built-on-Claude: Adira uses Anthropic's Claude as its frontier model. The commitment that matters to you, that Adira does not train on your contract corpus, is Adira's own stated position, and you should confirm the specific data-handling terms for your deployment in your contract with Adira, as you would with any vendor. ## Why no-training is the pivotal commitment Of the three risks, the training question deserves the most weight, because it is the only one that can expose your confidential terms outside your own account. Encryption and access control protect your data where it sits; a no-training commitment governs whether your data becomes part of something others use. This is the exact concern that keeps many legal teams from pasting live deals into general-purpose chatbots on consumer plans, where the default may be that inputs can be used to improve the service. A tool built for confidential contracts has to get this one right, and it has to state it plainly rather than burying it in terms. Adira's position is direct: it does not train on your contract corpus. Your documents shape your own private company persona, which stays under your control, and are not folded into a model shared with other customers. That is the commitment to confirm in writing for your deployment, because it is the one that matters most. ## What we are not claiming Being private by design is a posture, not a certificate, and it is important to be straight about the difference. Adira is not claiming any specific security certification such as SOC 2 or ISO 27001 on this page, because those should only be stated with a confirmed status and date. If your procurement requires a named certification, ask Adira directly for its current status rather than assuming it from a security page. Stating the posture plainly and not overclaiming certifications is itself part of being trustworthy; a vendor that implies certifications it does not hold is a risk in its own right. ## A fair word on the alternatives To be fair, a general-purpose chatbot on an enterprise plan can also offer no-training commitments and strong security, and the large CLM platforms such as Ironclad and Icertis have mature, heavily audited security programs that big regulated enterprises rely on. Adira's position is not that it is more secure than a deeply audited enterprise suite; it is that it pairs a clear, specific privacy posture, no training on your corpus, encryption, role-based access and Enterprise residency and audit controls, with a frontier model and public pricing, which makes it a sound, straightforward choice for startups and lean in-house teams that need confidentiality without a six-month security review. You can read the detail at Adira. ## Bottom line It can be safe to run confidential contracts through AI, but only when you know exactly how the tool treats your data, so separate the real risks, training, encryption, access, residency, retention and audit, and ask the concrete questions rather than trusting the word secure. Adira is built private by design: it does not train on your contract corpus, it encrypts data in transit and at rest, it enforces role-based access, and Enterprise adds SSO, audit logs and residency and retention controls, with a privacy policy covering the major regimes. It does not claim certifications it has not confirmed, which is part of the point. Confirm the specifics for your own deployment, then decide with the facts in hand.