A person checks what the AI isn’t sure of
Every field has a confidence score. Anything below your threshold, or anything that conflicts with your records, waits for a person. Nothing uncertain is saved quietly, and every correction is logged.
AI Document Processing Documents read and filed. You check only what’s unclear.
AI reads the PDFs, scans, forms, IDs and emails your team retypes today, pulls out the fields you need and files them in your CRM, practice software or spreadsheet. Every field carries a confidence score, and anything below your threshold goes to a person before it’s saved.
Free · 20 minutes · You talk to Syed · Scoped before anything is built
How it runs
Document Processing Running
Your systems update
-
A document arrives
An email attachment, a portal upload, a scan or a phone photo.
-
The AI sorts and reads it
Document type first, then the fields you need, each with a confidence score.
-
A person checks the exceptions
Low-confidence or conflicting fields wait in a short review queue. The rest pass.
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Your systems update
Data lands in your CRM, practice software or sheet, and the original is filed under a standard name.
See it work
Watch it handle one.
A scripted walk-through of a typical document processing conversation — press play.
Simulated demo
Mortgage document packet to CRM
Harbourview Mortgage · document inbox docs@ inbox · Wed 10:02 am
- Event
New email to docs@ from Jordan Mercer · “Docs for the Oakville purchase” · 6 attachments (2 PDFs, 4 phone photos)
- Sorting the packet by document type… 6 files labelled · driver’s licence · 2 pay stubs · employment letter · notice of assessment · purchase agreement Azure Document Intelligence
- Fields captured
- Name & date of birth
- Licence # (stored masked)
- Employer & title
- Gross pay · biweekly
- 2025 total income
- Closing date · Dec 12
- Checking fields against each other and the client file… Name matches on all 6 · pay stubs agree with the letter · 1 field below the 85% threshold HubSpot
- Needs a person · 1 field Review
- Field
- Employment start date
- Read as
- Mar 3, 2021 · 61% confidence
- Why
- Phone photo, fold across the date
- Cross-check
- Pay stub shows hire date Mar 8, 2021
- AI assistant
One field needs you: the start date on Jordan’s employment letter reads Mar 3 at 61%, but his pay stub says Mar 8. Which should I save?
- Priya · broker’s assistant
Mar 8. The fold hides the 8. Confirmed.
- Updating the client record and lender checklist… Contact and deal updated · 6 files saved to Mercer_J/2026-10 with standard names · 5 of 7 items received HubSpot
- Still missing for the lender Draft for Priya
- Item 6
- 90-day bank history for the down payment
- Item 7
- Void cheque for mortgage payments
- Next
- Request to Jordan drafted · sends only after Priya approves
- Event
Working copies deleted after filing · licence number kept masked · Priya’s correction logged for the monthly review
Six-document packet sorted, checked and filed in 2 min 10 s. One field confirmed by a person.
Set this up for my business What it replaces
Off your plate.
- Retyping intake forms and applications field by field
- Renaming attachments and dragging them into the right client folder
- Going through a document packet page by page to see what’s still missing
- Searching old emails for a contract date or a client’s address
How it works
Step by step.
- 01
We pick the documents worth automating
Usually the three types your team retypes most. We collect real samples and agree which fields matter, where each one belongs and what to leave alone.
- 02
Every document is sorted and read
The AI labels each file by type, such as an ID, pay stub, signed agreement or intake form, and extracts the agreed fields with a confidence score on each.
- 03
Rules and a person check the exceptions
Fields are checked against your rules and existing records: dates make sense, names match the file, totals add up. Anything below your threshold or in conflict goes to a review queue, where a person confirms or corrects it next to the original image.
- 04
Clean data lands where you work
Confirmed data is written to your CRM, Clio, spreadsheet or QuickBooks, and the original is filed with a standard name. Corrections feed back into the rules.
Works with the tools you already use
- Gmail / Google Workspace
- Outlook / Microsoft 365
- Google Drive
- SharePoint / OneDrive
- Clio
- HubSpot
- Follow Up Boss
- Google Sheets / Excel
- QuickBooks Online
- Azure Document Intelligence
- n8n, Make or Zapier
Connected through official APIs where available. Names and logos are trademarks of their owners; no affiliation implied.
Guardrails
You stay in control.
Only the fields you need, kept only as long as you need them
We agree up front which fields are extracted and which are ignored. ID numbers can be stored masked, working copies are deleted after filing, and originals stay in your storage under the retention rules you set.
Privacy and confidentiality by design
We use AI providers that don’t train on your data and document where everything is processed and stored, designed around PIPEDA in Canada. For clinics, we act as your agent under PHIPA and work under a business associate agreement for HIPAA in the US.
Judgement stays with your professionals
The AI prepares; your people decide. It never judges whether a document is valid, a borrower qualifies or a deadline applies. In law firms, a lawyer or their staff reviews its work, in line with law society guidance on supervising AI.
Where it fits
Where it fits best.
Professional Services Intake packets and client documents read into Clio or your practice software, with key dates pulled for a clerk to confirm. See professional plays Real Estate & Mortgage IDs, pay stubs and offers read into your CRM and checked against the lender’s list, so gaps show up the same day. See real estate plays Health, Dental & Med Spa New-patient forms, referral letters and insurance details prepared for your practice software. Clinical content stays with your staff. See clinics plays
In practice
What it looks like.
A five-person law firm
Three lawyers and two clerks in residential real estate and wills. About 25 new matters a month, each arriving with 4–6 documents: IDs, an intake form, the purchase agreement and a mortgage commitment. A clerk keys each one into Clio and files it.
About 2–3 hours a week back for the clerks (estimate)
The math
- Documents: ~25 matters a month × ~5 documents ≈ 125 a month ≈ 29 a week
- 29 documents × ~5 min saved (≈6 min to read, key and file vs ≈1 min to review) ≈ 145 min/week ≈ 2.4 h/week
- Key dates: ~6 new matters a week × ~8 min to find closing and condition dates and add them to the calendar ≈ 48 min/week ≈ 0.8 h/week
- Total ≈ 3.2 h/week
- Less 20% for overlap and ramp-up ≈ 2.6 h/week
Estimates use typical volumes and include a 20% allowance for overlap and ramp-up. Your audit measures the real numbers.
Why it matters
The retyping nobody budgets for
Most small firms have a pile of documents that someone reads and types back in. A client emails a signed agreement, two IDs and an intake form as phone photos. A borrower sends pay stubs in one email and the employment letter in another. Someone opens each file, finds the names, dates and numbers that matter, types them into the CRM or practice software, renames the attachment and drops it in a folder.
None of it is hard, and all of it is slow. It’s also where small mistakes start: a transposed date, a name spelled two ways, a file under the wrong client. They surface later, usually in the week of a closing or a deadline.
What changes with AI document processing
Documents go to one inbox, upload link or shared folder. The AI sorts each one by type, reads the fields you agreed on and checks them against each other and against what’s already on file. Fields it’s confident about pass straight through. Anything below your threshold, or anything that doesn’t match, waits in a short review queue with the original beside it, so a person can confirm it in seconds.
Clean data lands where your team already works, and missing documents show up the same day, as a list a person can send on. When the documents are part of bringing on a new client, client onboarding handles the requests and e-signatures around them. Supplier bills run through the same approach in AI accounts payable.
Where we start
We start with the three document types your team retypes most. For the first couple of weeks the AI runs alongside your current process and a person reviews every result, so you see how it handles your own documents before you rely on it. Once its results match your team’s, we tune the thresholds so only genuine exceptions reach the queue. If the data needs to travel further, we connect it with custom workflows that you own.
How we roll it out
Audit. Build. Run.
Every engagement is scoped on a call. You’ll know the cost before anything is built.
- 01
Audit
- Document inventory: which types arrive, from where and who retypes them
- Field map for your top three document types: what to extract and where it goes
- Confidence thresholds, review rules and a retention plan
- 02
Build
- Intake connected: shared inbox, upload link, shared folder or scanner
- Sorting and extraction tuned on your real samples
- Review queue and write-back to your CRM, practice software or sheet
- 03
Run & Optimize
- Monthly review of corrections and low-confidence fields
- New document types and fields added as your forms change
- Plain-English report: documents processed, sent to review and corrected
FAQ
Questions owners ask about Document Processing
Last updated October 7, 2026
Can it read handwriting and phone photos of documents?
Often, yes, but at lower confidence, so those fields go to a person to confirm. If a page is too blurry to read, it asks for a better copy instead of guessing.
What happens when the AI isn’t sure about a field?
It doesn’t guess. Anything under the confidence threshold you set, or anything that conflicts with what’s already on file, goes to a review queue with the original beside it. A person confirms or corrects it, and that correction is used to tune the rules.
Does it work with our own intake forms, not just standard documents?
Yes. Common documents such as IDs and pay stubs use prebuilt models, and your own forms are set up from a handful of real samples. Adding a new form later is a small change, not a rebuild.
Where are our documents stored, and for how long?
In your own storage: your inbox, drive or practice software. We agree a retention rule for each document type, delete working copies after filing and record which AI provider processes what, and in which region.
Can it write into Clio or our practice management software?
Where the software offers an API, yes. Clio, for example, supports matters, contacts and documents. For software that limits outside access, such as some clinic systems, we prepare a clean record your staff can confirm and enter in a few clicks.
What does AI document processing cost to run?
It depends on how many documents you handle, how many types and fields we set up and where the data needs to go. We scope it on a short call and give you a fixed build price and a clear monthly running cost before anything is built.
Pairs well with
Often built alongside.
Let’s map Document Processing to your workflow.
Bring your call volume, your tools and the part that annoys you most. In 20 minutes you’ll know what it would take — and whether it’s worth doing.
Free · 20 minutes · You talk to Syed · Prefer email? muhammad@sadaat.ca