Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 19255472 | LANGUAGE MODEL IMPROVEMENT THROUGH AUTOMATED PROMPT ENGINEERING | June 2025 | August 2025 | Allow | 2 | 0 | 0 | No | No |
| 19192328 | METHODS, DEVICES, AND SYSTEMS FOR EXTRACTING AND ANALYZING CONTENT FACING LARGE MODEL | April 2025 | September 2025 | Allow | 4 | 0 | 0 | No | No |
| 19174806 | SELECTIVE CONTENT-AWARE EMBEDDINGS FOR TARGETED INFORMATION RETRIEVAL | April 2025 | May 2025 | Allow | 1 | 0 | 0 | No | No |
| 19080459 | NATURAL LANGUAGE GENERATION USING KNOWLEDGE GRAPH INCORPORATING TEXTUAL SUMMARIES | March 2025 | January 2026 | Allow | 11 | 2 | 0 | Yes | No |
| 19072847 | SYSTEMS AND METHODS FOR CONTEXTUAL AND SEMANTIC SUMMARIZATION | March 2025 | June 2025 | Allow | 3 | 0 | 0 | No | No |
| 19068482 | Method and System for Multi-Level Artificial Intelligence Supercomputer Design | March 2025 | May 2025 | Allow | 2 | 0 | 0 | No | No |
| 18831432 | INFORMATION EXTRACTION SYSTEM FOR UNSTRUCTURED DOCUMENTS USING RETRIEVAL AUGMENTATION PROVIDING SOURCE TRACEABILITY AND ERROR CONTROL | January 2025 | June 2025 | Allow | 5 | 0 | 0 | No | No |
| 18831434 | Information Extraction System For Unstructured Documents using Independent Tabular and Textual Retrieval Augmentation | January 2025 | June 2025 | Allow | 5 | 0 | 0 | No | No |
| 19034853 | EFFICIENT CACHING AND RETRIEVAL OF RESPONSES IN CONVERSATION SERVICE APPLICATION COMMUNICATION SESSIONS | January 2025 | April 2025 | Allow | 2 | 0 | 0 | No | No |
| 18934384 | Method and System for Multi-Level Artificial Intelligence Supercomputer Design | November 2024 | December 2024 | Allow | 1 | 0 | 0 | No | No |
| 18931573 | SYSTEMS AND METHODS FOR TARGETED INTERACTIONS WITH COMPUTATIONAL MODELS | October 2024 | June 2025 | Allow | 8 | 1 | 1 | Yes | No |
| 18823584 | PARTNER MANAGEMENT RUNTIME ENFORCEMENT | September 2024 | December 2024 | Allow | 3 | 0 | 0 | No | No |
| 18749064 | METHOD FOR GENERATING STORYBOARD BASED ON SCRIPT TEXT | June 2024 | July 2025 | Allow | 13 | 2 | 0 | Yes | No |
| 18680620 | SYSTEMS AND METHODS FOR INTELLIGENTLY SEEDING A FORMULATION NETWORK MODEL | May 2024 | October 2024 | Allow | 4 | 0 | 0 | No | No |
| 18678295 | Method and System for Data-Hiding Within Audio Transmissions | May 2024 | July 2025 | Allow | 14 | 1 | 0 | No | No |
| 18677561 | ENHANCED MACHINE LEARNING MODEL ACCURACY THROUGH POST-HOC CONFIDENCE SCORE CALIBRATION | May 2024 | December 2024 | Allow | 7 | 0 | 0 | No | No |
| 18638171 | SYSTEMS AND METHODS FOR SHORT TEXT SIMILARITY BASED CLUSTERING | April 2024 | February 2025 | Allow | 10 | 1 | 0 | No | No |
| 18636671 | ENDPOINT DETECTION | April 2024 | January 2025 | Allow | 9 | 2 | 0 | Yes | No |
| 18606908 | LAYERED CODING FOR COMPRESSED SOUND OR SOUND FIELD REPRESENTATIONS | March 2024 | October 2024 | Allow | 7 | 0 | 0 | No | No |
| 18591776 | USING MACHINE LEARNING MODELS TO ANALYZE CONTRACTUAL TERMS AND CLAUSES IN A LEGAL CONTRACT, TO RECOMMEND EDITS, AND TO MAKE CHANGES TO A WORKFLOW | February 2024 | January 2025 | Allow | 11 | 1 | 0 | No | No |
| 18590498 | MULTIMEDIA CONTENT MANAGEMENT FOR LARGE LANGUAGE MODEL(S) AND/OR OTHER GENERATIVE MODEL(S) | February 2024 | November 2024 | Allow | 8 | 0 | 0 | No | No |
| 18441624 | PROCESSING EVENT DATA AND/OR TABULAR DATA FOR INPUT TO ONE OR MORE MACHINE LEARNING MODELS | February 2024 | October 2025 | Allow | 20 | 0 | 0 | No | No |
| 18437155 | SYSTEM FOR PROVIDING SOFTWARE RELATED ANSWER BASED ON A TRAINED MODEL | February 2024 | August 2025 | Allow | 18 | 4 | 0 | No | No |
| 18415223 | INTERACTIVE INFORMATION PROCESSING METHOD, DEVICE AND MEDIUM | January 2024 | January 2025 | Allow | 12 | 2 | 0 | No | No |
| 18414758 | DEEP SEMANTIC FEATURE BASED FEW SHOT INTENT RECOGNITION METHOD FOR AIR TRAFFIC CONTROL INSTRUCTIONS | January 2024 | June 2024 | Allow | 5 | 0 | 0 | No | No |
| 18403054 | LABEL PROPAGATION USING CONTRASTIVE LEARNING PROJECTIONS | January 2024 | November 2025 | Allow | 22 | 0 | 0 | No | No |
| 18400839 | DIGITAL PROCESSING SYSTEMS AND METHODS FOR IMPLEMENTING AND MANAGING ARTIFICIAL INTELLIGENCE FUNCTIONALITIES IN APPLICATIONS | December 2023 | January 2026 | Allow | 24 | 3 | 0 | No | No |
| 18520218 | MULTIMEDIA CONTENT MANAGEMENT FOR LARGE LANGUAGE MODEL(S) AND/OR OTHER GENERATIVE MODEL(S) | November 2023 | February 2024 | Allow | 3 | 0 | 0 | No | No |
| 18510565 | LANGUAGE MODEL DECODING FOR SEARCH QUERY COMPLETION | November 2023 | October 2025 | Allow | 23 | 0 | 0 | No | No |
| 18387603 | PROMPT-BASED ATTRIBUTION OF GENERATED MEDIA CONTENTS TO TRAINING EXAMPLES | November 2023 | January 2024 | Allow | 3 | 0 | 0 | No | No |
| 18387701 | GENERATING CONTENT USING A GENERATIVE MODEL WITHOUT RELYING ON SELECTED TRAINING EXAMPLES | November 2023 | October 2024 | Allow | 11 | 2 | 0 | Yes | No |
| 18387692 | ATTRIBUTING GENERATED AUDIO CONTENTS TO TRAINING EXAMPLES | November 2023 | May 2024 | Allow | 6 | 1 | 0 | No | No |
| 18383246 | APPARATUS AND METHOD FOR DYNAMIC DATA SYNTHESIS AND AUTOMATED INTERFACING | October 2023 | January 2024 | Allow | 3 | 0 | 0 | No | No |
| 18482838 | NATURAL LANGUAGE STATISTICAL MODEL WITH ALERTS | October 2023 | March 2024 | Allow | 6 | 1 | 0 | No | No |
| 18467363 | USING MACHINE LEARNING MODELS TO ANALYZE CONTRACTUAL TERMS AND CLAUSES IN A LEGAL CONTRACT, TO RECOMMEND EDITS, AND TO MAKE CHANGES TO A WORKFLOW | September 2023 | November 2023 | Allow | 2 | 0 | 0 | No | No |
| 18242806 | DETERMINING SUGGESTED SUBSEQUENT USER ACTIONS DURING DIGITAL ASSISTANT INTERACTION | September 2023 | October 2024 | Allow | 13 | 0 | 0 | No | No |
| 18240996 | DATA ENTRY FEATURE FOR INFORMATION TRACKING SYSTEM | August 2023 | November 2024 | Allow | 14 | 1 | 0 | No | No |
| 18455405 | AUTOMATIC PREDICTION OF IMPORTANT CONTENT | August 2023 | August 2024 | Allow | 11 | 1 | 0 | No | No |
| 18451046 | SYSTEMS AND METHODS FOR PROVIDING REAL-TIME RECOMMENDATIONS USING NATURAL LANGUAGE PROCESSING | August 2023 | September 2024 | Allow | 13 | 3 | 0 | No | No |
| 18450700 | POST-CALIBRATION OF LARGE LANGUAGE MODEL CONFIDENCE SCORING VIA COMBINED TECHNIQUES | August 2023 | February 2024 | Allow | 6 | 1 | 0 | Yes | No |
| 18358494 | MULTI-WORD PHRASE BASED ANALYSIS OF ELECTRONIC DOCUMENTS | July 2023 | April 2024 | Allow | 9 | 0 | 0 | No | No |
| 18209703 | METHOD AND SYSTEM FOR IMPROVING PERFORMANCE OF TEXT SUMMARIZATION | June 2023 | June 2024 | Allow | 12 | 0 | 0 | No | No |
| 18329204 | Intent Matching Engine | June 2023 | April 2024 | Allow | 11 | 1 | 0 | No | No |
| 18313544 | EDITING PARAMETERS | May 2023 | September 2024 | Allow | 16 | 1 | 0 | No | No |
| 18303117 | DISTRIBUTIONAL REINFORCEMENT LEARNING FOR CONTINUOUS CONTROL TASKS | April 2023 | November 2023 | Allow | 7 | 0 | 0 | No | No |
| 18301341 | TRAINING A LANGUAGE DETECTION MODEL FOR LANGUAGE AUTODETECTION FROM NON-CHARACTER SUB-TOKEN SIGNALS | April 2023 | December 2023 | Allow | 8 | 0 | 0 | No | No |
| 18301573 | COMPUTER IMPLEMENTED METHODS FOR THE AUTOMATED ANALYSIS OR USE OF DATA, INCLUDING USE OF A LARGE LANGUAGE MODEL | April 2023 | April 2024 | Allow | 12 | 2 | 0 | No | No |
| 18301594 | COMPUTER IMPLEMENTED METHODS FOR THE AUTOMATED ANALYSIS OR USE OF DATA, INCLUDING USE OF A LARGE LANGUAGE MODEL | April 2023 | April 2024 | Allow | 12 | 2 | 0 | No | No |
| 18295735 | SYSTEMS AND METHODS FOR ENHANCED REVIEW COMPREHENSION USING DOMAIN-SPECIFIC KNOWLEDGEBASES | April 2023 | November 2023 | Allow | 7 | 0 | 0 | No | No |
| 18182883 | LAYERED CODING FOR COMPRESSED SOUND OR SOUND FIELD REPRESENTATIONS | March 2023 | December 2023 | Allow | 9 | 0 | 0 | No | No |
| 18115290 | SYSTEMS AND METHODS FOR GENERATING TEXTUAL INSTRUCTIONS FOR MANUFACTURERS FROM HYBRID TEXTUAL AND IMAGE DATA | February 2023 | August 2025 | Allow | 29 | 0 | 0 | No | No |
| 18106848 | COMPUTERIZED NATURAL LANGUAGE PROCESSING WITH INSIGHTS EXTRACTION USING SEMANTIC SEARCH | February 2023 | September 2023 | Allow | 7 | 1 | 0 | No | No |
| 18103871 | Audio Encoding/Decoding based on an Efficient Representation of Auto-Regressive Coefficients | January 2023 | April 2024 | Allow | 15 | 1 | 0 | No | No |
| 18068384 | Intent Identification for Agent Matching by Assistant Systems | December 2022 | September 2023 | Allow | 9 | 1 | 0 | No | No |
| 18082919 | NATURAL LANGUAGE DETECTION | December 2022 | January 2025 | Allow | 25 | 0 | 0 | No | No |
| 17989266 | NATURAL SPEECH DETECTION | November 2022 | June 2025 | Allow | 31 | 1 | 0 | No | No |
| 17987079 | METHOD AND APPARATUS WITH NEURAL NETWORK PARAMETER QUANTIZATION | November 2022 | July 2025 | Allow | 32 | 3 | 0 | No | No |
| 17986876 | COMPUTERIZED NATURAL LANGUAGE PROCESSING WITH INSIGHTS EXTRACTION USING SEMANTIC SEARCH | November 2022 | October 2023 | Allow | 11 | 0 | 0 | No | No |
| 17965276 | SYSTEMS AND METHODS TO IMPROVE AUTOMATIC SPEECH RECOGNITION OF AUDIO DATA | October 2022 | March 2025 | Allow | 29 | 1 | 0 | No | No |
| 17936547 | Optimizing Inference Performance for Conformer | September 2022 | September 2024 | Allow | 23 | 1 | 0 | No | No |
| 17946523 | SELF-LEARNING NEUROMORPHIC ACOUSTIC MODEL FOR SPEECH RECOGNITION | September 2022 | August 2024 | Allow | 23 | 0 | 0 | No | No |
| 17932249 | SYSTEMS AND METHODS FOR SPEAKER DIARIZATION | September 2022 | August 2024 | Allow | 23 | 0 | 0 | No | No |
| 17902601 | VOICE-BASED SCENE SELECTION FOR VIDEO CONTENT ON A COMPUTING DEVICE | September 2022 | July 2024 | Allow | 22 | 0 | 0 | No | No |
| 17800616 | SPEECH RECOGNITION APPARATUS, CONTROL METHOD, AND NON-TRANSITORY STORAGE MEDIUM | August 2022 | December 2025 | Allow | 40 | 1 | 0 | No | No |
| 17864060 | COMFORT NOISE GENERATION | July 2022 | July 2023 | Allow | 12 | 1 | 0 | No | No |
| 17849864 | BEAMFORMING USING IMAGE DATA | June 2022 | July 2025 | Allow | 36 | 1 | 0 | No | No |
| 17827758 | SYSTEMS AND METHODS OF TEXT TO AUDIO CONVERSION | May 2022 | November 2024 | Abandon | 30 | 1 | 0 | No | No |
| 17780776 | VOICE RECOGNITION METHOD AND RELATED PRODUCT | May 2022 | July 2025 | Allow | 38 | 1 | 0 | No | No |
| 17749561 | Applied Artificial Intelligence Technology for Natural Language Generation Using a Graph Data Structure with Follow-Up Capabilities | May 2022 | February 2024 | Allow | 21 | 0 | 0 | No | No |
| 17663955 | MODEL LOCALIZATION FOR DATA ANALYTICS AND BUSINESS INTELLIGENCE | May 2022 | May 2024 | Allow | 24 | 3 | 0 | No | No |
| 17743801 | METHODS AND SYSTEMS FOR INTELLIGENT EDITING OF LEGAL DOCUMENTS | May 2022 | July 2024 | Allow | 26 | 0 | 0 | No | No |
| 17740309 | SPEECH CODING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM | May 2022 | February 2025 | Allow | 33 | 1 | 0 | No | No |
| 17736423 | COMPUTERIZED NATURAL LANGUAGE PROCESSING WITH WORKFLOW RECMMENDATIOS USING SEMANTIC ANALYSIS | May 2022 | August 2025 | Allow | 39 | 1 | 1 | Yes | No |
| 17710821 | SYSTEMS AND METHODS FOR INTENT DISCOVERY | March 2022 | March 2025 | Abandon | 35 | 1 | 0 | No | No |
| 17691616 | QUESTION ANSWERING SYSTEM, QUESTION ANSWERING PROGRAM, AND QUESTION ANSWERING METHOD | March 2022 | November 2024 | Allow | 33 | 1 | 0 | No | No |
| 17683158 | INTERACTIVE INFORMATION PROCESSING METHOD, DEVICE AND MEDIUM | February 2022 | October 2023 | Allow | 19 | 4 | 0 | No | No |
| 17678689 | VOICE ACTIVATED LABORATORY ENVIRONMENTS | February 2022 | November 2024 | Abandon | 32 | 4 | 0 | No | No |
| 17677396 | ELECTRONIC DEVICE FOR PROCESSING USER'S INQUIRY, AND OPERATION METHOD OF THE ELECTRONIC DEVICE | February 2022 | March 2025 | Allow | 36 | 1 | 0 | No | No |
| 17666423 | SYSTEMS AND METHODS FOR USING DYNAMIC REFERENCE GRAPHS TO ACCURATELY ALIGN SEQUENCE READS | February 2022 | May 2025 | Allow | 39 | 2 | 0 | No | No |
| 17585024 | SYSTEMS AND METHODS FOR SHORT TEXT SIMILARITY BASED CLUSTERING | January 2022 | January 2024 | Allow | 24 | 0 | 0 | No | No |
| 17579233 | SYSTEM AND METHOD FOR REPOSITORY-AWARE NATURAL LANGUAGE UNDERSTANDING (NLU) USING A LOOKUP SOURCE FRAMEWORK | January 2022 | January 2025 | Allow | 36 | 1 | 0 | No | No |
| 17569106 | CONTEXTUAL AND PERSONALIZED REAL TIME CONTENT MODIFICATION FOR LANGUAGE ASSISTANCE | January 2022 | July 2025 | Allow | 42 | 1 | 0 | Yes | No |
| 17622703 | MULTIMODAL BEAMFORMING AND ATTENTION FILTERING FOR MULTIPARTY INTERACTIONS | December 2021 | July 2024 | Allow | 31 | 1 | 0 | No | No |
| 17549528 | SPEECH RECOGNITION | December 2021 | October 2024 | Allow | 34 | 4 | 0 | No | No |
| 17547625 | AI-BASED LANGUAGE TESTING PROCESS FOR CI/CD | December 2021 | January 2025 | Allow | 37 | 2 | 0 | No | No |
| 17547322 | FEATURE DOMAIN BANDWIDTH EXTENSION AND SPECTRAL REBALANCE FOR ASR DATA AUGMENTATION | December 2021 | December 2023 | Allow | 24 | 1 | 0 | Yes | No |
| 17595947 | Sound Field Related Rendering | November 2021 | August 2024 | Allow | 33 | 1 | 0 | No | No |
| 17538766 | SELECTIVELY MASKING QUERY CONTENT TO PROVIDE TO A SECONDARY DIGITAL ASSISTANT | November 2021 | September 2025 | Allow | 45 | 3 | 0 | Yes | No |
| 17535077 | ELECTRONIC APPARATUS, METHOD FOR CONTROLLING THE SAME, AND STORAGE MEDIUM FOR THE SAME | November 2021 | October 2023 | Allow | 23 | 2 | 0 | No | No |
| 17531915 | Machine Learning-Based Argument Component Segmentation | November 2021 | November 2024 | Allow | 35 | 0 | 0 | No | No |
| 17605326 | COMBINING UNSUPERVISED AND SEMI-SUPERVISED DEEP CLUSTERING APPROACHES FOR MINING INTENTIONS FROM TEXTS | October 2021 | July 2024 | Allow | 33 | 1 | 0 | No | No |
| 17488520 | VOICE-BASED USER RECOGNITION | September 2021 | February 2025 | Allow | 41 | 4 | 0 | Yes | Yes |
| 17482643 | SUMMARIZATION METHOD FOR RECORDED AUDIO | September 2021 | August 2024 | Allow | 35 | 7 | 0 | No | No |
| 17439965 | LABORATORY SYSTEM WITH PORTABLE MICROPHONE DEVICE | September 2021 | May 2025 | Allow | 44 | 3 | 0 | Yes | No |
| 17462645 | AUTOMATIC PREDICTION OF IMPORTANT CONTENT | August 2021 | May 2023 | Allow | 21 | 0 | 0 | No | No |
| 17444663 | Automatic Voiceover Generation | August 2021 | February 2025 | Allow | 42 | 4 | 0 | Yes | Yes |
| 17314250 | APPARATUS, SYSTEM, AND METHOD FOR GENERATING VOICE RECOGNITION GUIDE BY TRANSMITTING VOICE SIGNAL DATA TO A VOICE RECOGNITION SERVER WHICH CONTAINS VOICE RECOGNITION GUIDE INFORMATION TO SEND BACK TO THE VOICE RECOGNITION APPARATUS | May 2021 | August 2023 | Allow | 28 | 2 | 0 | Yes | No |
| 17306530 | COMPUTER-IMPLEMENTED METHOD FOR CONCEPT EXTRACTION | May 2021 | March 2025 | Abandon | 47 | 3 | 0 | No | No |
| 17240550 | QUANTITATIVE COMMENT SUMMARIZATION | April 2021 | February 2024 | Allow | 33 | 0 | 0 | No | No |
| 17284225 | DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND DATA PROCESSING PROGRAM | April 2021 | August 2023 | Allow | 29 | 2 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner PHAM, THIERRY L.
With a 0.0% reversal rate, the PTAB affirms the examiner's rejections in the vast majority of cases. This reversal rate is in the bottom 25% across the USPTO, indicating that appeals face significant challenges here.
Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.
In this dataset, 50.0% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is in the top 25% across the USPTO, indicating that filing appeals is particularly effective here. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
⚠ Appeals to PTAB face challenges. Ensure your case has strong merit before committing to full Board review.
✓ Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
Examiner PHAM, THIERRY L works in Art Unit 2654 and has examined 55 patent applications in our dataset. With an allowance rate of 85.5%, this examiner has an above-average tendency to allow applications. Applications typically reach final disposition in approximately 34 months.
Examiner PHAM, THIERRY L's allowance rate of 85.5% places them in the 62% percentile among all USPTO examiners. This examiner has an above-average tendency to allow applications.
On average, applications examined by PHAM, THIERRY L receive 2.24 office actions before reaching final disposition. This places the examiner in the 62% percentile for office actions issued. This examiner issues a slightly above-average number of office actions.
The median time to disposition (half-life) for applications examined by PHAM, THIERRY L is 34 months. This places the examiner in the 44% percentile for prosecution speed. Prosecution timelines are slightly slower than average with this examiner.
Conducting an examiner interview provides a +13.4% benefit to allowance rate for applications examined by PHAM, THIERRY L. This interview benefit is in the 51% percentile among all examiners. Recommendation: Interviews provide an above-average benefit with this examiner and are worth considering.
When applicants file an RCE with this examiner, 28.1% of applications are subsequently allowed. This success rate is in the 50% percentile among all examiners. Strategic Insight: RCEs show above-average effectiveness with this examiner. Consider whether your amendments or new arguments are strong enough to warrant an RCE versus filing a continuation.
This examiner enters after-final amendments leading to allowance in 32.1% of cases where such amendments are filed. This entry rate is in the 47% percentile among all examiners. Strategic Recommendation: This examiner shows below-average receptiveness to after-final amendments. You may need to file an RCE or appeal rather than relying on after-final amendment entry.
When applicants request a pre-appeal conference (PAC) with this examiner, 0.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 11% percentile among all examiners. Note: Pre-appeal conferences show limited success with this examiner compared to others. While still worth considering, be prepared to proceed with a full appeal brief if the PAC does not result in favorable action.
This examiner withdraws rejections or reopens prosecution in 80.0% of appeals filed. This is in the 72% percentile among all examiners. Strategic Insight: This examiner shows above-average willingness to reconsider rejections during appeals. The mandatory appeal conference (MPEP § 1207.01) provides an opportunity for reconsideration.
When applicants file petitions regarding this examiner's actions, 127.3% are granted (fully or in part). This grant rate is in the 96% percentile among all examiners. Strategic Note: Petitions are frequently granted regarding this examiner's actions compared to other examiners. Per MPEP § 1002.02(c), various examiner actions are petitionable to the Technology Center Director, including prematureness of final rejection, refusal to enter amendments, and requirement for information. If you believe an examiner action is improper, consider filing a petition.
Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 21% percentile). This examiner rarely makes examiner's amendments compared to other examiners. You should expect to make all necessary claim amendments yourself through formal amendment practice.
Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.0% of allowed cases (in the 27% percentile). This examiner issues Quayle actions less often than average. Allowances may come directly without a separate action for formal matters.
Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:
Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.
No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.
Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.
Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.