Examiner Josep Han

What the data says.

Josep Han maintains a public record in Technology Center 2100 (Computer Architecture, Software, and Information Security). Across 57 total applications, 15 have been disposed (allowed or abandoned). Of those 15 decided applications, 6 were allowed, yielding an allowance rate of 40%. The examiner works within a single art unit (2122). This pooled record reflects outcomes across all applications within that art unit and does not forecast results in any specific case.

How to read these numbers.

This pooled record aggregates all applications decided within the examiner's assigned art unit. The allowance rate (40% of 15 decided applications) describes past outcomes and reflects the examiner's historical record. Pooled figures do not vary by individual application characteristics and are not predictions of how any future application will be examined or decided. An aggregate rate describes the past, not the future.

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 neural-network / biological-model computing, and machine learning.

Questions about Examiner Josep Han

• 01What is Josep Han's overall allowance rate?

  40%, based on 6 allowed applications out of 15 disposed (decided) applications.
• 02How many art units does this examiner work in?

  One art unit (2122), within TC 2100.
• 03How many total applications are in this examiner's record?

  57 total applications. Of those, 15 have been disposed (allowed or abandoned), and 9 have been abandoned. Remaining applications are still pending.
• 04Does the allowance rate apply to my application?

  No. The pooled allowance rate describes past outcomes and is not a prediction of any specific application's outcome.

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