Recruiting · Production

D4C Dental Brands reduces doctor offer creation from 7–10 days to 1 hour with Lexion CLM

The problem

Without a CLM, D4C's recruitment contract process was manually inconsistent — recruiters copied terms without legal approval, every contract was bespoke requiring painstaking review, and other departments lacked visibility into vendor contracts and salary standards.

Workflow diagram · grounded in source
1
Doctor recruitment offer initiated
trigger
“Recruiting doctors is central to D4C's business model, but each employment offer looks different depending on the type of practice, hire, location, and other factors”
2
AI document repository ingestion
ai_action
“D4C's entire AI-powered repository of more than 5,000 documents was ingested and ready to go in just two weeks”
3
Templated offer generation
output
“With Workflow and templated document generation, new offers for doctors can now be completed in 1 hour, where they used to take up to 7-10 days”
4
Contract reporting and standardization
output
“reporting capabilities would have a big impact on his organization's ability to standardize terms for new hires”
5
Vendor contract termination tracking
output
“Contract termination dates with vendors are no longer missed, saving the organization from unnecessary spending”
Reported outcome

D4C's legal team improved efficiency by 80x; new doctor offers now take 1 hour instead of 7–10 days; over 5,000 documents were ingested into the AI-powered repository; and vendor contract termination tracking eliminated unnecessary spending.

Reported metrics
Legal team efficiency improvement80x
New offer completion time1 hour
Previous offer completion time7-10 days
documents ingested into AI repositorymore than 5,000
Show all 7 reported metrics
legal team efficiency improvement80x
new offer completion time1 hour
previous offer completion time7-10 days
documents ingested into AI repositorymore than 5,000
implementation time to readytwo weeks
hire success ratewinning more hires because of a faster onboarding process
unnecessary vendor spendingsaving the organization from unnecessary spending
Reported stack
Lexion
Source
https://www.lexion.ai/case-study/d4c-dental-brands
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

D4C's legal team improved efficiency by 80x; new doctor offers now take 1 hour instead of 7–10 days; over 5,000 documents were ingested into the AI-powered repository; and vendor contract termination tracking eliminat…

What tools did this team use?

Lexion.

What results were reported?

Legal team efficiency improvement: 80x; New offer completion time: 1 hour; Previous offer completion time: 7-10 days; documents ingested into AI repository: more than 5,000 (source-reported, not independently verified).

How is this recruiting AI workflow structured?

Doctor recruitment offer initiated → AI document repository ingestion → Templated offer generation → Contract reporting and standardization → Vendor contract termination tracking.

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