Prosecution Insights
Prosecution Insights
3 pending office actions • 0 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 2 patents granted in the last 365 days
MicroStrategy Incorporated is managing 3 pending office actions. These actions are distributed among 3 distinct examiners, resulting in a different examiner for every pending matter. The data shows 0 distinct art units associated with these actions. This distribution across 3 distinct examiners suggests that the company's current workload is being evaluated from several different perspectives at the patent office.
CAIADO, ANTONIO J is the busiest examiner, with 1 busiest examiner pending action. This action is part of the 3 pending office actions currently active. The use of multiple examiners for these pending office actions indicates that the company's intellectual property is being reviewed by a diverse set of individuals. Each examiner is responsible for a portion of the pending office actions, requiring the company to manage multiple examiner relationships simultaneously.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 + other | 2 (67%) |
| Multi-statute (no §101) | 1 (33%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| CAIADO, ANTONIO J | 1 | 68.7% | +50.6% |
| SIRJANI, FARIBA | 1 | 75.5% | +31.7% |
| MIAH, RAZU A | 1 | 84.7% | +26.0% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19252151 | ENHANCING ARTIFICIAL INTELLIGENCE CHATBOTS WITH SEARCH FUNCTIONALITY | CAIADO, ANTONIO J | — |
| 19191902 | DETERMINING AND REVEALING INTERPRETATIONS OF ARTIFICIAL INTELLIGENCE MODELS | SIRJANI, FARIBA | — |
| 19192183 | MANAGING INTERACTIONS WITH MULTIPLE ARTIFICIAL INTELLIGENCE CHATBOTS | MIAH, RAZU A | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19252151 | ENHANCING ARTIFICIAL INTELLIGENCE CHATBOTS WITH SEARCH FUNCTIONALITY | CAIADO, ANTONIO J | — |
| 19191902 | DETERMINING AND REVEALING INTERPRETATIONS OF ARTIFICIAL INTELLIGENCE MODELS | SIRJANI, FARIBA | — |
| 19192183 | MANAGING INTERACTIONS WITH MULTIPLE ARTIFICIAL INTELLIGENCE CHATBOTS | MIAH, RAZU A | — |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19252151 | ENHANCING ARTIFICIAL INTELLIGENCE CHATBOTS WITH SEARCH FUNCTIONALITY | CAIADO, ANTONIO J | — | §101§103 | Non-Final OA | — | Pending | Jun 27, 2025 |
| 19191902 | DETERMINING AND REVEALING INTERPRETATIONS OF ARTIFICIAL INTELLIGENCE MODELS | SIRJANI, FARIBA | — | §102§103 | Non-Final OA | — | Pending | Apr 28, 2025 |
| 19192183 | MANAGING INTERACTIONS WITH MULTIPLE ARTIFICIAL INTELLIGENCE CHATBOTS | MIAH, RAZU A | — | §101§103§112 | Non-Final OA | — | Pending | Apr 28, 2025 |
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