AI case study

Franchise Brokers AssociationLegal document processing

Manually parsing 400-page docs took 4 hours. AI now extracts data and runs the math, cutting processing to one hour.

Published

Key results

Time Reduction
75%
Listing Coverage
100%
Math Errors
0

Result highlights

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The story

Context

A national franchise network supports brokers by processing hundreds of Franchise Disclosure Documents, each containing 200–400 pages of critical financial and operational details.

Challenge

Manually extracting data and calculating summaries from these documents took up to four hours per listing, limiting review capacity to just a few...

Solution
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Quotes

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The company

Franchise Brokers Association logo

Franchise Brokers Association

franchiseba.com

Professional association and training platform for the franchise industry.

IndustryEducation & Training
LocationOrlando, FL, USA
Employees11-50
Founded2008

The vendor

Enterprise technology and consulting for cloud computing, AI, and business solutions.

IndustryTechnology
LocationArmonk, New York, United States
Employees100K+
Founded1911

Use case

Franchise Brokers Association's Legal document processing is part of this use case:

Compliance Review
52 case studies(+60% YoY)
Proven impact?
LowModerateVery Strong
3.0Moderate
2.4Lowwithin Legal & Compliance

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