Legal Support Services at Liberty University
Lynchburg, VA · Private nonprofit · Bachelor's Degree
DegreeOutlook Score (Base Case)
38
Optimistic
37
Base Case
31
Pessimistic
Earnings
$41,973/yr (9% vs median)
AI Risk
Very High (61% exposed)
Job Market
Large (77,600 openings/yr)
ROI
5.8x earnings multiple
How AI Changes the Outlook
Three scenarios based on how aggressively AI disrupts the career paths available to Legal Support Services graduates.
| Optimistic No Disruption |
Base Case Gradual AI |
Pessimistic Aggressive AI |
|
|---|---|---|---|
| 10-Year Earnings | $490K | $490K | $460K |
| Earnings Multiple | 5.8x | 5.8x | 5.4x |
| Probability of Field Employment | 51% | 44% | 31% |
| DegreeOutlook Score | 38 | 37 | 31 |
10-Year Earnings Projection
*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.
4-Year Tuition (Sticker)
$84,888
Median Debt at Graduation
$30,616
8.8 months of Year 1 earnings
Reported Earnings (5 Year)
$47,680
14% growth from Year 1
About Liberty University
With 99% of applicants admitted, Liberty University prioritizes broad access, one of the larger campuses at 50,059 students in Lynchburg, VA.
See all programs and financial aid at Liberty University →Top Career Paths
Legal support workers, all other
$68,760/yr
Court reporters and simultaneous captioners
$67,310/yr
Paralegals and legal assistants
$61,010/yr
Compare & Explore
Legal Support Services at Other Schools
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Explore the Trade Alternative
Not every career requires a four-year degree. Trade programs in related fields can offer competitive salaries with a fraction of the student loan burden.
Frequently Asked Questions
How does Liberty University's Legal Support Services program score?
This program scores 37/100 — on the lower end for Legal Support Services. Prospective students should carefully weigh costs against likely earnings.
How vulnerable is Legal Support Services to AI automation?
AI won't 'replace' Legal Support Services careers outright, but it is likely to reduce the number of job openings. We model 61% task exposure, which compresses field employment probability in our scenarios.
Scores use College Scorecard earnings, BLS employment projections, and AI task-exposure research.
See full methodology →