SSA Administrative Law Judge

Hon. Lawrence T. Ragona

Position Administrative Law Judge
On record SSA records since 2016
Decisions 3,616 lifetime

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Approval rates

Comparing approval rates requires looking at consistent timeframes to understand how a judge performs relative to their peers. While Lawrence T. Ragona has a 35% lifetime approval rate, his latest-period rate is 44%. This compares to an office-wide lifetime range of 26% to 67% for all judges on record. Aggregate rates describe past decisions, not predictions for your individual hearing.

Lifetime SSA records since 2016
Approval rate 35%
Decisions on record 3,616
Latest SSA reporting period July 31, 2026
Metric Judge Ragona Alexandria National
Approval rate 44% 55% 58%
Fully favorable 38%
Denials 56%

Office- and national-level breakdowns of fully favorable vs denial rates aren't currently published by SSA in the per-office disposition data. The judge's own breakdown is the detail we have today.

Approval rate over time

Year-over-year approval rate across Judge Ragona's docket. Annual rates fluctuate with the mix of cases SSA assigns; the longer-run pattern is more informative than any single year.

Judge Ragona
0%20%40%60%80%100%FY16FY26
Source: SSA OHO disposition data. Approval rate (SSA's term: allowance rate) = fully favorable + partially favorable decisions divided by total decisions, which exclude dismissals.

Decision pattern

Since 2016, the approval trend for Lawrence T. Ragona has shown a gradual shift. After hovering in the low-to-mid 30% range for several years, the data shows an upward movement in recent periods, reaching 44% in the latest reporting window. This pattern suggests that recent decisions reflect a higher frequency of allowances compared to the earlier record. The latest period reflects a continuation of this steady pattern.

Preparing for an SSDI hearing

The guidance below applies to any SSDI hearing, not specifically to Judge Ragona's bench. Judge-specific preparation guidance requires a corpus of public Appeals Council decisions involving each judge, which we haven't built yet.

  • Bring a clean treating-physician record. Longitudinal primary-care or specialist notes spanning the disability period, with consistent symptom documentation, are typically the strongest evidence at hearing. A single month's records usually aren't enough.
  • Don't rely on consultative exams alone. If your medical evidence is built primarily around a one-time CE finding, expect detailed questioning. Supplement with treating-source statements where possible.
  • Prepare for daily-activity questions. Have honest, specific answers about a typical day. Answers that conflict with the medical record (in either direction) tend to hurt credibility.
  • Expect transferable-skills probing. A vocational expert will usually testify about jobs available to someone with your limitations. Your representative should be prepared to cross-examine.

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About the Alexandria hearing office

The Alexandria hearing office serves claimants across Louisiana, operating as a critical hub for regional disability claims. With a bench of 10 judges on record, the office maintains an office-wide latest-period approval rate of 55%. You can expect a standard hearing process focused on medical evidence and vocational testimony. You can see the Alexandria Hearing Office page for the full ALJ roster.

Other judges at this hearing office

The Social Security Administration assigns cases through a workload-balancing algorithm, meaning the judge you are assigned is essentially random. There are 10 judges on record at this office since 2016, 7 of whom reported in the latest period. Approval rates across this bench vary significantly, ranging from 26% to 67% on a lifetime basis. For preparation purposes, the guidance is the same regardless of which judge you are assigned.

Approval rates change with a lawyer

WITHOUT A LAWYER
baseline approval rate
Unrepresented claimants
WITH A LAWYER
~3×
higher approval rate
Represented claimants

Source: U.S. Government Accountability Office, GAO-18-37. The 3× gap is a population-wide average across all judges; individual outcomes vary.

Frequently asked questions