Legal tech companies check AI drafts by saving accuracy results with method and date, confidentiality and privilege handling in approved wording, data location and the customers they may name. Marketing and sales drafts are then run through a claim check that flags accuracy, hallucination and security claims the saved record cannot back.
Where AI drafts go wrong for legal tech companies
Legal buyers have seen what unverified AI output does. A 2024 Stanford study found that leading AI legal research tools, several marketed as reducing hallucinations, still hallucinated on at least one in six benchmarking queries. A vendor in this market that writes "hallucination-free" or "100% accurate" invites exactly that comparison, and an assistant will write it unprompted.
The second risk is confidentiality language. "Your data is never used to train models" and "privilege is preserved" are statements with contractual and legal weight, and they depend on provider terms and architecture. The sentence in your marketing must match the sentence in your contract.
Claims an AI draft might invent for legal tech companies
These examples are invented for this page to show the pattern. They describe no real company, customer or result.
- "Hallucination-free legal answers" with no evaluation.
- "99% accurate contract review" with no benchmark.
- "Your data is never used for training" when a provider's terms say otherwise.
- "Privilege is fully preserved" with no counsel-approved wording.
- "Used by leading global law firms" with no permission to say.
The facts legal tech companies would save once
A saved fact is one sentence you can stand behind, with its source and date. Anything a draft claims that matches none of them is flagged.
- Evaluation results: dataset, method, date, who ran it.
- Confidentiality and data-use terms, as in your contract.
- Data location and sub-processors.
- Features that use AI, and where a human reviews.
- Customers you may name.
- Jurisdictions the product supports.
The workflow
- Save the evaluation record and the contract language for data use.
- Draft marketing, security answers and sales emails in your assistant.
- Run the claim check. Paste the contract clause as source text to check data statements against it.
- Send flagged accuracy and confidentiality claims to your counsel for sign-off by private link.
- Publish, and keep the approval record.
The method is the one on the draft fact check page: Klype extracts the figures, guarantees, vague authority and stories in a draft, matches each to your saved facts and any source text you paste, flags what it cannot back, and keeps an approval record. It is rule-based, so the same text gets the same answer, and it never publishes or sends anything.
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What the check does not do
It compares claims with the facts you saved and any source text you paste. It does not browse the web, does not verify outside claims and does not replace legal, compliance or editorial review where your work needs it. When it finds nothing checkable, it says nothing was verified, so you still read every draft before it goes out.
Sources
- Stanford HAI, AI on Trial: Legal Models Hallucinate in 1 out of 6 (or More) Benchmarking Queries
- American Bar Association, Business Law Today, February 2024
Each source is cited for the single point made above. Klype does not give legal advice; ask your counsel how any rule applies to you.
Common questions
Is this legal advice?
No. It checks that your claims match the facts you saved. It does not give legal advice or replace review by a lawyer.
Why cite a study about other vendors?
Because it shows how this audience reads accuracy claims. It is not a statement about any one product.
Can lawyers at our customers use it?
They can sign off a draft through a private link with no account. They would not use your workspace otherwise.
Where to go next
Read how the check works on the draft fact check page, or try the free post checker without signing up. Related guides: Klype for HR tech companies, Klype for insurtech companies, and Klype for AI startups. The full list is on the hub.