Why evaluate before you adopt
AI drawing review tools are easy to demo and hard to judge. A demo runs on a set the vendor chose, and almost any tool looks sharp on its own example. What matters is how it performs on your drawings, with your standards, inside your liability, and whether the time your reviewers spend on its output is less than the time it saves them.
This checklist is written for principals and QA leads deciding whether to bring a tool into their firm. It works for any vendor, including us. Run it as a short, structured pilot rather than a sales conversation, and write the answers down: the point is a decision you can defend to your partners and your clients.
Download the one-page vendor scorecard (PDF) Every question below on a single printable sheet, with space to score each vendor against your pilot project.
1. Run the pilot on drawings you already know
- Use a closed project. Pick a job that is built or far enough along that you know where the problems were. The RFIs, change orders and field fixes are your answer key.
- Use the real set, not a sample. Upload the full construction document set as issued, every discipline included, so you see how the tool handles size, cross references and the sheets nobody enjoys reviewing.
- Write down what you expect before you look. List the known errors first. Judging the output without a list tends to credit the tool for whatever it happens to show.
- Have the output reviewed by someone who knows the project and someone who does not, so you learn both how accurate it is and how usable it is to a reviewer coming in cold.
2. Know where your drawings go
Your drawings carry client information and are often covered by an NDA or contract terms. Before uploading anything, get clear written answers.
- Where files are stored, and for how long. Ask what happens to uploads after the review is finished and how you delete them.
- Whether your drawings are used for training. Ask about the vendor and about every AI provider the vendor sends content to. The answer can differ between the two, and the provider's terms are the ones that decide it.
- Who can see your content. Ask which vendor staff can access uploads and why, and whether other users in your own firm can see a project by default.
- Which third parties process it. A vendor should be able to name its processors. Check the list against any restrictions in your client contracts, especially on government and institutional work.
3. Be clear about who is responsible
- The seal stays with the engineer. A tool should describe itself as an aid to review. Be wary of any claim that it approves, certifies or makes drawings compliant; no software carries a professional license.
- Read the terms and the AI disclaimer, not only the marketing pages. They say what the vendor actually commits to when a finding is missed.
- Check who made each decision. The tool should record which person accepted or rejected each finding, so the review trail shows engineering judgment, not a machine's.
4. Judge whether the findings are usable
A finding your reviewer cannot act on in a minute is noise, however clever it is.
- Every finding names a sheet and a location. Your reviewer should not have to hunt for what the tool means.
- Findings cite their basis. A code section, a spec paragraph or the two sheets that disagree. Unsupported findings are hard to trust and harder to defend.
- Severity is ranked. A missing breaker size and a typo in a general note should not arrive with the same weight.
- Each finding can be accepted or rejected with a reason, and the result exports in a form your team already uses, such as a marked-up PDF or a report.
5. Measure accuracy honestly
- Count three things against your answer key: real findings the tool caught, false positives your reviewer had to dismiss, and known errors it missed.
- Time the triage. Minutes spent dismissing false positives are a real cost. A tool that finds everything and buries it in noise can cost more time than it saves.
- Run the same set twice. AI output varies from run to run. Some variation is normal; ask the vendor how much to expect, how they measure it, and whether the important findings stay stable.
- Check by discipline. A tool can be strong on one discipline and weak on another. Score mechanical, electrical, plumbing and fire protection separately.
How Redline handles this. Redline's output varies between runs too, and we would rather you see that in a pilot than discover it later. We measure it on our own engine by running the same real drawing set repeatedly and tracking two things: how much the number of findings changes, and how often the same issue appears from one run to the next. We treat reducing that variation as engineering work, not a footnote. If you pilot Redline, run your set twice and judge it for yourself.
6. Check it fits how your firm works
- Size limits match your sets. Compare the vendor's page and file size limits against a typical construction document set, not a schematic package.
- Turnaround suits your schedule. Know how long a full set takes, so the review fits between internal QA and issue.
- Disciplines covered match your work. Confirm the tool reviews the disciplines you stamp, and how it treats the architectural and structural backgrounds your sheets sit on.
- Pricing matches your volume. Work out the cost per set at your real project volume, and check how easily you can change plans or cancel.
7. Ask the security questions
- Encryption in transit and at rest, stated plainly in the vendor's documentation.
- Account security, including how access is controlled and whether single sign-on is available for firms that require it.
- Independent audits. Ask which audits the vendor has completed, such as SOC 2, which are planned, and what controls are in place today. A vendor should state its status plainly, and you can decide what your clients require.
8. Make the decision on the numbers
- Compare hours, not impressions. Reviewer time on the pilot set with the tool, including triage, against the time the same review takes by hand.
- Weigh the misses. A tool that catches the costly coordination errors your team tends to miss is worth more than one that catches many small ones your team already finds.
- Decide how it will be used. A first pass before human review, a second check before issue, or both. Write the rule down so it is used the same way on every project.
How Redline answers this checklist
We wrote this list to be fair to any vendor, so here are our own answers, taken from our published Privacy Policy, Terms and FAQ.
- Training. Your drawings are not used to train any AI model, ours or a provider's. Our AI processing provider is contractually committed not to train on customer content, and our search and retrieval provider's training opt-out, which also sets its retention to zero days, is exercised.
- Who processes your content. We use a small set of processors, for AI analysis, search and retrieval, storage and authentication, hosting, billing and bot protection. The Privacy Policy sets out what each category receives and what it may do with it.
- Where it is stored, and for how long. Data is hosted in the United States, in a US-East region. Drawings and results are kept while your account is active, and you can delete any analysis at any time. When a plan ends, the account closes and the data is permanently deleted after 90 days. A full deletion request is completed within 30 days.
- Who can see it. Each user can reach only the files in their own account, enforced at the database level. Drawings are never shared between firms.
- Responsibility. The engineer of record remains solely responsible for any drawing they stamp, whatever Redline reports. Redline is an aid to review, and it says so in its AI Disclaimer.
- Findings. Each finding carries a severity rating and code references, and records your review status, your comments and your reasons for disputing it. Reports export as PDF.
- Fit. One analysis takes a set of up to 100 pages and 45 MB, in any of six modes. Monthly plans start with a 14-day free trial of two reviews.
- Security. Drawings are encrypted at rest (AES-256) and in transit (TLS 1.3), and passwords are hashed by our authentication provider. We are not yet SOC 2 certified: a SOC 2 Type II audit is on our roadmap for 2027. Our underlying hosting platform is itself SOC 2 Type II certified.
You can run this whole evaluation on Redline. Start a 14-day free trial, upload a closed project you know well, and score it against this list. Every finding is yours to accept or reject, and the stamp stays yours.
Questions
How long should a pilot of an AI drawing review tool take?
Long enough to run at least one full construction document set from a closed project and score the output. For most firms that is a week or two of part-time effort, not a months-long program.
Can we trust AI to review drawings without an engineer?
No. Treat any AI tool as a first pass that produces findings for an engineer to judge. The professional seal, and the decision about what a finding means, stay with the engineer responsible for the work.
What is the most important question to ask a vendor?
Whether your drawings are used to train AI models, by the vendor or by any AI provider it uses. Get the answer in writing and check it against the provider's own terms.
Should we evaluate more than one tool?
If you can, yes. Run the same closed project through each one and score them against the same answer key. It is the only comparison that is fair to the tools and to your firm.