SSA Administrative Law Judge

Hon. Maria L. Spitz

Last decided GreensboroJul 2026
Decisions 816since 2023

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Approval rates

Over the 12 months to July 31, 2026, Maria L. Spitz's 84% approval rate compares to the Greensboro office's 65% and the national average of 58%. These figures are drawn from 444 decisions. These aggregate rates reflect past decisions rather than predictions for your individual hearing.

Last 12 months July 26, 2025 – July 31, 2026
Metric Judge Spitz Greensboro National
Approval rate 84% 65% 58%
Fully favorable 65% — —
Denials 16% — —
Decisions 444 — —
All decisions on record SSA records since 2023
Approval rate 85%
Decisions on record 816

SSA publishes no office- or national-level breakdown of fully favorable and denial rates. The 12 months are SSA's figures for this fiscal year to date plus the rest of the previous fiscal year; how we calculate them.

Approval rate over time

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

Judge Spitz
0%20%40%60%80%100%FY24FY26
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 September 2023, Maria L. Spitz has issued 816 decisions on record. Her approval rate was 88% in 2024, 85% in 2025, and 85% in 2026. This pattern shows a consistent approval rate relative to the broader office bench.

Preparing for an SSDI hearing

The guidance below applies to any SSDI hearing, not specifically to Judge Spitz'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 Greensboro hearing office

The Greensboro Hearing Office is the most recent office on record for Maria L. Spitz, with her last recorded decision there in July 2026. The office's approval rate was 65% over the 12 months to July 31, 2026. You can view the full roster of judges on the Greensboro Hearing Office page.

Other judges whose most recent office on record is Greensboro

The Social Security Administration assigns cases using a workload-balancing algorithm, meaning the judge you are assigned is essentially random. Across the Greensboro Hearing Office, the 8 judges who decided cases here in SSA's latest file range from 51% to 84% over the 12-month window. You can find more information on the Greensboro Hearing Office page.

Judges with similar approval rates

These active judges' approval rates over the same 12 months (July 26, 2025 – July 31, 2026) are closest to Judge Spitz's 84%. Four of them last decided cases in North Carolina. With too few close matches there, the rest come from SSA's Atlanta region.

Rates within 5 points of each other are hard to tell apart at a typical caseload, so treat these as judges with comparable records, not a ranking. See Judge Spitz and the three closest side by side →

Approval rates change with a lawyer

WITHOUT A LAWYER
1×
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