Title Automation

Month-end volume without month-end overtime

Areal reads the contracts, emails and closing packages your title operation already receives — creating orders, balancing fees and indexing documents straight into your production system. Your team handles the exceptions, not the typing.

3 min

to open a title order, from 1–2 hours

1,500+

document types sorted and labelled

CONTRACTORDER EMAILCLOSING PKGORDER OPENEDFEES BALANCEDPACKAGE INDEXED

Trusted by Top-Tier Mortgage & Title Companies

The Money Store
Rate
Guaranteed Rate Companies
Old Republic Title
NotaryCam
Canopy Mortgage
How Areal Works

One pipeline, every document, every workflow

1

Ingestion

Documents arrive from your POS, LOS, cloud storage, or any tool via a single API call

2

Classification

Every page classified across 1,500+ document types with precision

3

Extraction

4,000+ data points extracted per loan, covering every scenario

4

Automation

CD Balancer and Copilot Agent handle fee balancing, review, and QA

5

Integration

Verified data pushed back to your existing systems automatically

What it returns

Per order, every order

Three products, each replacing a task your team does by hand on every file.

1–2 hrs

Saved per order on order entry

68+ fields pulled from contracts, order forms and emails, then written straight into your TPS.

Where month-end hurts most

30–60 min

Saved per order on indexing

Post-closing packages sorted, grouped and labelled in under two minutes instead of 30 to 40.

2+ hrs

Saved per order on CD balancing

Fees reconciled against the lender CD and pushed back by MISMO payload, with a full audit trail.

At 500 orders a month, that is more than 1,000 hours returned to the operation — most of it concentrated in the days your team can least afford to lose.

“It's a month-end volume dream come true, and it has helped drive margins up in the departments where we use it.”

Jay Roberts

CTO · Florida Agency Network

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We'll show you which workflows to automate first — and the exact ROI for your volume.

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