Examiner Brian J Gillis

What the data says.

Brian J Gillis maintains a public record of 70 disposed applications in Technology Center 2100 (Computer Architecture, Software, and Information Security). Of those decided applications, 37 were allowed and 33 were abandoned, yielding an allowance rate of 53%. His record spans a single art unit. This pooled figure reflects the examiner's historical disposition of applications across that art unit and does not constitute a prediction for any specific application or case.

How to read these numbers.

This record aggregates all applications decided by the examiner across his assigned art unit(s). The 53% allowance rate describes past dispositions and reflects the examiner's overall pattern only. Pooled rates do not predict outcomes in individual cases and mask variation within art units. This figure is historical and correlational, not causal or predictive.

These are aggregate statistics from this examiner's past public record — not predictions about any specific application. The per-art-unit figures below show how the record varies across art units. Our approach to patent prosecution →

The record, art unit by art unit.

Each section benchmarks this examiner against that art unit's average. Figures are this examiner's own public record within the art unit; the overall rate above pools them.

Primarily examines artificial-intelligence and machine-learning methods.

Questions about Examiner Brian J Gillis

• 01What is Brian J Gillis's overall allowance rate?

  53% across 70 disposed applications in TC 2100. This is the ratio of allowed to decided applications (allowed plus abandoned) and does not predict the outcome of any specific application.
• 02How many art units does this examiner's record cover?

  One art unit (2141). The pooled record aggregates all applications decided within that unit.
• 03What does a 53% allowance rate mean?

  It means that of 70 applications decided (allowed or abandoned), 37 were allowed. The rate is historical and describes past dispositions, not future outcomes.
• 04Is this rate predictive for my application?

  No. This is a historical aggregate and is not a prediction of any specific application's outcome. Many factors affect individual cases.

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