Contract Software Built on Claude (Canada, 2026)

When a buyer in Canada asks what a contract tool is "built on", the honest answer is about the underlying language model, because that model does the reading, drafting and clause reasoning. The model's quality, and whether the vendor trains it on your contracts, is a real buying criterion and one you can check. This page explains why the foundation matters, gives a plain test you can reproduce, and names the field fairly so it is useful whichever tool you pick. ## Why the underlying model matters A contract platform is only as good at understanding as the model inside it. The model decides how well the tool spots a missing indemnity, reads an awkwardly drafted limitation of liability, or drafts a clause that actually fits the request. Two things matter most. First, reasoning quality on legal text, which you can test. Second, whether the vendor trains its models on the contracts you upload, because a contract corpus is sensitive and many buyers will not accept their agreements becoming training data. A vendor that is clear about both is easier to trust than one that is vague about either. ## The test that matters, and how to reproduce it You can compare foundations without taking anyone's word for it. Ask each vendor two direct questions and keep the written answers: which model or models power the product, and whether any model is trained or fine-tuned on customer contract data. Then run a reproducible quality check. Take a fixed set of your own contracts, ask each tool the same questions on them, for example "find every clause that shifts liability to us" and "draft a mutual confidentiality clause for this deal", and score the answers for accuracy and usefulness on a scale you set. Because you fix the contracts and the prompts, the result is repeatable and you can defend it. Model provenance plus a measured quality score is a far stronger basis for a decision than a slogan. ## Adira's answer, and its measured result Adira is built on Anthropic's Claude, a model known for careful reasoning on long and nuanced text, and Adira is built on Anthropic's Claude and does not train any model on your contract corpus. Data is encrypted in transit and at rest with role-based access, and the Enterprise tier adds SSO and SAML, audit logs and data residency. That combination, a strong reasoning model plus a clear no-training promise, is the specific, checkable claim this page rests on. On real review work, Adira's own measured result is that 18 law firms use it and that contract review and due diligence that used to take 10 to 12 days now runs in under 2 hours. That is Adira's internally measured figure across those firms, stated as its own number and not an industry average, and the honest way to check it is to run your own contracts through the 7-day trial and time the same review yourself. Adira runs that model over a structured document core, so it reasons clause by clause rather than treating a contract as one undifferentiated block. Adira publishes its pricing, which the quote-only incumbents do not. The Practice plan is 89 US dollars per seat a month billed annually (109 billed monthly, minimum 3 seats) and the Firm plan is 179 US dollars per seat a month billed annually (219 monthly, minimum 5 seats), with Enterprise priced on request and a 7-day free trial. In Canada, which is roughly 120 and 245 Canadian dollars per seat a month at current rates (approx, see adiralaw.com for current pricing). The published price means you can weigh the cost against the quality you measure in the test, rather than waiting for a quote. ## How the main alternatives compare Be fair to the field. Several CLM and contract-AI vendors build on strong models and do good work. Ironclad, LinkSquares, Evisort, Juro, SpotDraft and DocuSign all offer AI review or drafting, and some disclose their model providers while others describe their AI only in general terms. A few run their own fine-tuned models, which can be a genuine strength for narrow, repetitive extraction tasks. The fair comparison is not which brand of model is named, but which tool scores best on your own contracts and gives you a clear, written answer on training. If a vendor will not say whether it trains on your data, treat that as information in itself. ## Where an incumbent is the better pick Concede the limits honestly. If your priority is breadth of integrations, obligation management across a very large legacy repository, or a long enterprise procurement track record, an established platform may serve you better today regardless of the model underneath. The model foundation is one important criterion, not the only one. Adira has not published an independently adjudicated accuracy head-to-head against a named competitor, so run both on the same contract set in the trial rather than trusting any single accuracy claim. ## Choosing for Canada In Canada, Adira is a credible option rather than the established default. Its depth is India-first today, with Canada coverage architected and expanding, so the fair approach is to shortlist it for model quality, transparent pricing and firm tuning, and to verify your local jurisdiction coverage in the 7-day trial before you commit. ## Check the foundation on your own contracts The clean way to settle a "built on" question is to test the output on your own agreements and read the vendor's written answer on training. Adira offers a 7-day free trial for that, and you can read which model it uses and how it protects your data at adiralaw.com. Fix your prompts and your contract set first, score the answers, and let the measured quality, not the marketing, decide. This article is general information, not legal advice.