Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18659940 | UNSUPERVISED FEDERATED LEARNING OF MACHINE LEARNING MODEL LAYERS | May 2024 | March 2025 | Allow | 10 | 1 | 0 | Yes | No |
| 18590341 | SPEECH ENABLING SYSTEM | February 2024 | October 2024 | Allow | 8 | 0 | 1 | No | No |
| 18581960 | AUTHENTICATION OF IMPAIRED VOICES | February 2024 | April 2025 | Allow | 14 | 2 | 0 | No | No |
| 18413784 | SYSTEMS AND METHODS FOR PROVIDING COMMUNICATION SERVICES | January 2024 | March 2025 | Abandon | 14 | 1 | 0 | No | No |
| 18397158 | APPARATUS AND METHOD FOR PROCESSING AN INPUT AUDIO SIGNAL USING CASCADED FILTERBANKS | December 2023 | January 2025 | Allow | 13 | 1 | 0 | No | No |
| 18540377 | PROACTIVE INCORPORATION OF UNSOLICITED CONTENT INTO HUMAN-TO-COMPUTER DIALOGS | December 2023 | October 2024 | Allow | 10 | 1 | 0 | No | No |
| 18506866 | DETERMINING INPUT FOR SPEECH PROCESSING ENGINE | November 2023 | December 2024 | Allow | 13 | 1 | 0 | Yes | No |
| 18504391 | PROVIDING CONTEXT-DRIVEN OUTPUT BASED ON FACIAL MICROMOVEMENTS | November 2023 | July 2024 | Allow | 8 | 1 | 0 | No | No |
| 18377223 | METHODS AND SYSTEMS FOR COMPLEX NATURAL LANGUAGE TASK UNDERSTANDING FOR EMBODIED AGENTS | October 2023 | June 2025 | Allow | 21 | 0 | 0 | No | No |
| 18218333 | RECOMMENDING AUTOMATED ASSISTANT ACTION FOR INCLUSION IN AUTOMATED ASSISTANT ROUTINE | July 2023 | March 2024 | Allow | 9 | 0 | 0 | Yes | No |
| 18214384 | DIRECTING A VEHICLE CLIENT DEVICE TO USE ON-DEVICE FUNCTIONALITY | June 2023 | August 2024 | Allow | 14 | 1 | 0 | Yes | No |
| 18210696 | ELECTRONIC DEVICE AND METHOD FOR PROVIDING CONVERSATIONAL SERVICE | June 2023 | August 2024 | Allow | 14 | 1 | 0 | Yes | No |
| 18207987 | PROVIDING COMMAND BUNDLE SUGGESTIONS FOR AN AUTOMATED ASSISTANT | June 2023 | June 2024 | Allow | 13 | 1 | 0 | No | No |
| 18207221 | SYSTEMS AND METHODS FOR LOCAL INTERPRETATION OF VOICE QUERIES | June 2023 | February 2025 | Allow | 20 | 2 | 0 | Yes | No |
| 18328358 | Media System with Closed-Captioning Data and/or Subtitle Data Generation Features | June 2023 | September 2024 | Allow | 15 | 3 | 0 | Yes | No |
| 18249184 | SYSTEM AND METHOD FOR MULTI-LINGUAL TRANSLATION IN MESSAGE COMMUNICATION | April 2023 | September 2024 | Allow | 17 | 1 | 0 | No | No |
| 18181805 | FACIAL MOVEMENTS WAKE UP WEARABLE | March 2023 | September 2023 | Allow | 7 | 1 | 0 | No | No |
| 18102000 | PROCESSING SPEECH SIGNALS OF A USER TO GENERATE A VISUAL REPRESENTATION OF THE USER | January 2023 | September 2023 | Allow | 8 | 0 | 0 | Yes | No |
| 18148221 | DETERMINING INPUT FOR SPEECH PROCESSING ENGINE | December 2022 | October 2023 | Allow | 9 | 1 | 0 | Yes | No |
| 18048810 | APPARATUS AND METHOD FOR PROCESSING AN INPUT AUDIO SIGNAL USING CASCADED FILTERBANKS | October 2022 | September 2023 | Allow | 11 | 1 | 0 | No | No |
| 17962011 | METHOD OF GENERATING SUMMARY BASED ON MAIN SPEAKER | October 2022 | December 2024 | Allow | 26 | 2 | 0 | Yes | No |
| 17872465 | RECOMMENDING AUTOMATED ASSISTANT ACTION FOR INCLUSION IN AUTOMATED ASSISTANT ROUTINE | July 2022 | March 2023 | Allow | 8 | 0 | 0 | Yes | No |
| 17758115 | SWITCHING BETWEEN STEREO CODING MODES IN A MULTICHANNEL SOUND CODEC | June 2022 | September 2024 | Allow | 27 | 0 | 0 | No | No |
| 17788585 | COMMUNICATION METHODS AND APPARATUSES, ELECTRONIC DEVICES AND COMPUTER READABLE STORAGE MEDIA | June 2022 | July 2024 | Allow | 25 | 1 | 0 | No | No |
| 17844680 | SENTENCE SIMILARITY SCORING USING NEURAL NETWORK DISTILLATION | June 2022 | February 2025 | Allow | 32 | 1 | 0 | Yes | No |
| 17728563 | DIRECTING A VEHICLE CLIENT DEVICE TO USE ON-DEVICE FUNCTIONALITY | April 2022 | March 2023 | Allow | 11 | 0 | 0 | Yes | No |
| 17582847 | PROVIDING COMMAND BUNDLE SUGGESTIONS FOR AN AUTOMATED ASSISTANT | January 2022 | January 2023 | Allow | 12 | 1 | 0 | No | No |
| 17572293 | PROACTIVE INCORPORATION OF UNSOLICITED CONTENT INTO HUMAN-TO-COMPUTER DIALOGS | January 2022 | November 2023 | Allow | 22 | 2 | 0 | No | No |
| 17615812 | SPEECH RECOGNITION CONTROL APPARATUS, SPEECH RECOGNITION CONTROL METHOD, AND PROGRAM | December 2021 | June 2025 | Abandon | 43 | 3 | 0 | No | No |
| 17514576 | EVENT EXTRACTION METHOD, DEVICE AND STORAGE MEDIUM | October 2021 | July 2024 | Allow | 33 | 1 | 0 | Yes | No |
| 17512785 | Speech Processing System And A Method Of Processing A Speech Signal | October 2021 | March 2024 | Allow | 28 | 1 | 0 | Yes | No |
| 17498950 | OPERATION SUPPORT APPARATUS OF TRANSPORTATION MEANS, OPERATION SUPPORT METHOD OF TRANSPORTATION MEANS, AND RECORDING MEDIUM STORING OPERATION SUPPORT PROGRAM FOR TRANSPORTATION MEANS | October 2021 | September 2024 | Allow | 35 | 1 | 0 | No | No |
| 17492151 | ELECTRONIC APPARATUS FOR RECOMMENDING WORDS CORRESPONDING TO USER INTERACTION AND CONTROLLING METHOD THEREOF | October 2021 | August 2024 | Allow | 35 | 1 | 0 | Yes | No |
| 17461649 | SIGNIFICANCE-BASED PREDICTION FROM UNSTRUCTURED TEXT | August 2021 | August 2024 | Allow | 36 | 1 | 0 | Yes | No |
| 17352856 | METHOD AND ELECTRONIC DEVICE FOR SEPARATING MIXED SOUND SIGNAL | June 2021 | May 2022 | Allow | 11 | 2 | 0 | No | No |
| 17303552 | CURIOSITY BASED ACTIVATION AND SEARCH DEPTH | June 2021 | July 2023 | Allow | 25 | 1 | 0 | Yes | No |
| 17296825 | TRANSLATION DEVICE AND TRANSLATION METHOD | May 2021 | January 2024 | Allow | 32 | 1 | 0 | No | No |
| 17230433 | KNOWLEDGE GRAPH MANAGEMENT BASED ON MULTI-SOURCE DATA | April 2021 | December 2024 | Allow | 44 | 2 | 0 | Yes | No |
| 17226594 | SYSTEM AND METHOD WITH NEURAL REPRESENTATION OF EVENT-CENTRIC COMMONSENSE KNOWLEDGE FOR RESPONSE SELECTION | April 2021 | October 2024 | Allow | 42 | 2 | 0 | No | No |
| 17278725 | SPEECH RECOGNITION DEVICE, SPEECH RECOGNITION SYSTEM, AND SPEECH RECOGNITION METHOD | March 2021 | April 2024 | Abandon | 37 | 1 | 0 | No | No |
| 17205946 | Model Evaluation Method and Device, and Electronic Device | March 2021 | March 2023 | Abandon | 23 | 2 | 0 | No | No |
| 17193828 | METHOD AND VOICE ASSISTANT DEVICE FOR MANAGING CONFIDENTIAL DATA AS A NON-VOICE INPUT | March 2021 | February 2025 | Allow | 48 | 4 | 0 | Yes | No |
| 17261585 | USER VOICE BASED DATA FILE COMMUNICATIONS | January 2021 | October 2024 | Abandon | 44 | 3 | 0 | Yes | No |
| 17248282 | AUTHENTICATION OF IMPAIRED VOICES | January 2021 | November 2023 | Allow | 34 | 1 | 0 | No | No |
| 17260265 | FREE TEXT DE-IDENTIFICATION | January 2021 | March 2025 | Abandon | 50 | 4 | 0 | No | No |
| 17145047 | APPARATUS, METHOD AND COMPUTER PROGRAM FOR GENERATING A REPRESENTATION OF A BANDWIDTH-EXTENDED SIGNAL ON THE BASIS OF AN INPUT SIGNAL REPRESENTATION USING A COMBINATION OF A HARMONIC BANDWIDTH-EXTENSION AND A NON-HARMONIC BANDWIDTH-EXTENSION | January 2021 | July 2024 | Allow | 42 | 3 | 0 | Yes | No |
| 17138232 | INTELLIGENT SHORT TEXT INFORMATION RETRIEVE BASED ON DEEP LEARNING | December 2020 | August 2023 | Abandon | 32 | 2 | 0 | No | No |
| 17131009 | ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF | December 2020 | July 2024 | Allow | 43 | 2 | 0 | Yes | No |
| 17124341 | AUGMENTED TRAINING DATA FOR END-TO-END MODELS | December 2020 | August 2023 | Allow | 32 | 3 | 0 | Yes | No |
| 16973605 | UNSUPERVISED FEDERATED LEARNING OF MACHINE LEARNING MODEL LAYERS | December 2020 | February 2024 | Allow | 38 | 1 | 0 | No | No |
| 16973285 | CONVERSATION ASSISTANCE DEVICE, CONVERSATION ASSISTANCE METHOD, AND PROGRAM | December 2020 | February 2024 | Allow | 38 | 1 | 0 | No | No |
| 17107898 | SENTIMENT ANALYSIS TUNING | November 2020 | August 2023 | Abandon | 32 | 2 | 0 | Yes | No |
| 17051156 | METHOD FOR RECORDING AND OUTPUTTING CONVERSION BETWEEN MULTIPLE PARTIES USING SPEECH RECOGNITION TECHNOLOGY, AND DEVICE THEREFOR | October 2020 | December 2022 | Abandon | 26 | 1 | 0 | No | No |
| 17038714 | SPEECH AND AUDIO DEVICES | September 2020 | April 2024 | Abandon | 43 | 4 | 0 | Yes | No |
| 16980069 | Speech Processing System And A Method Of Processing A Speech Signal | September 2020 | February 2024 | Allow | 42 | 1 | 0 | Yes | No |
| 16979973 | INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING SYSTEM | September 2020 | June 2023 | Allow | 34 | 2 | 0 | No | No |
| 17009695 | SYSTEMS AND METHODS FOR CONSTRUCTING AN ARTIFICIALLY DIVERSE CORPUS OF TRAINING DATA SAMPLES FOR TRAINING A CONTEXTUALLY-BIASED MODEL FOR A MACHINE LEARNING-BASED DIALOGUE SYSTEM | September 2020 | November 2022 | Abandon | 26 | 1 | 0 | No | No |
| 16936967 | CONTEXT ACQUIRING METHOD AND DEVICE BASED ON VOICE INTERACTION | July 2020 | December 2023 | Abandon | 41 | 1 | 0 | No | No |
| 16962734 | SPEECH RECOGNITION WITH IMAGE SIGNAL | July 2020 | April 2021 | Allow | 9 | 1 | 0 | Yes | No |
| 16926138 | MULTI-TAP MINIMUM VARIANCE DISTORTIONLESS RESPONSE BEAMFORMER WITH NEURAL NETWORKS FOR TARGET SPEECH SEPARATION | July 2020 | April 2022 | Allow | 22 | 2 | 0 | Yes | No |
| 16924879 | HUMAN-MACHINE INTERFACES AND METHODS WHICH DETERMINE INTENDED RESPONSES BY HUMANS | July 2020 | September 2023 | Allow | 39 | 1 | 0 | No | No |
| 16911247 | SYSTEMS AND METHODS FOR CORRELATING SPEECH AND LIP MOVEMENT | June 2020 | November 2024 | Allow | 53 | 4 | 0 | Yes | No |
| 16907792 | SYSTEMS AND METHODS FOR CONSTRUCTING AN ARTIFICIALLY DIVERSE CORPUS OF TRAINING DATA SAMPLES FOR TRAINING A CONTEXTUALLY-BIASED MODEL FOR A MACHINE LEARNING-BASED DIALOGUE SYSTEM | June 2020 | July 2020 | Allow | 1 | 0 | 0 | No | No |
| 16907006 | TRAINING METHOD AND APPARATUS FOR A SPEECH SYNTHESIS MODEL, AND STORAGE MEDIUM | June 2020 | September 2022 | Allow | 27 | 1 | 0 | No | No |
| 16770243 | SPEECH RECOGNITION DEVICE AND METHOD | June 2020 | August 2024 | Allow | 50 | 6 | 0 | Yes | No |
| 16878313 | APPARATUS AND METHOD FOR PROCESSING AN INPUT AUDIO SIGNAL USING CASCADED FILTERBANKS | May 2020 | July 2022 | Allow | 25 | 1 | 0 | No | No |
| 16869013 | ADJUSTING CHATBOT CONVERSATION TO USER PERSONALITY AND MOOD | May 2020 | July 2022 | Allow | 26 | 0 | 0 | Yes | No |
| 16864790 | ARTIFICIAL INTELLIGENCE BASED VIRTUAL AGENT TRAINER | May 2020 | December 2021 | Allow | 20 | 0 | 0 | No | No |
| 16863999 | Systems and Methods for Explicit Memory Tracker with Coarse-To-Fine Reasoning in Conversational Machine Reading | April 2020 | December 2022 | Allow | 32 | 2 | 0 | Yes | No |
| 16858933 | METHOD AND SYSTEM FOR RECORDING AUDIO CONTENT IN A GROUP CONVERSATION | April 2020 | July 2022 | Allow | 27 | 1 | 0 | No | No |
| 16859695 | AUTOMATICALLY LABELING DATA USING CONCEPTUAL DESCRIPTIONS | April 2020 | March 2023 | Allow | 35 | 2 | 0 | Yes | No |
| 16857772 | HANDLING EXPLICIT INVOCATION OF CHATBOTS | April 2020 | March 2024 | Allow | 47 | 3 | 0 | Yes | No |
| 16829323 | PROACTIVE INCORPORATION OF UNSOLICITED CONTENT INTO HUMAN-TO-COMPUTER DIALOGS | March 2020 | October 2021 | Allow | 18 | 0 | 0 | Yes | No |
| 16822288 | PRECISE CHATBOT-TRAINING SYSTEM | March 2020 | October 2023 | Abandon | 43 | 2 | 0 | No | No |
| 16818690 | TEXT PROCESSING METHOD AND APPARATUS | March 2020 | March 2023 | Allow | 36 | 2 | 0 | No | No |
| 16810358 | BRAIN-INSPIRED SPOKEN LANGUAGE UNDERSTANDING SYSTEM, A DEVICE FOR IMPLEMENTING THE SYSTEM, AND METHOD OF OPERATION THEREOF | March 2020 | June 2023 | Allow | 40 | 1 | 0 | Yes | No |
| 16809415 | GENERATING INTERACTIVE AUDIO-VISUAL REPRESENTATIONS OF INDIVIDUALS | March 2020 | October 2021 | Abandon | 19 | 1 | 0 | No | No |
| 16805337 | DETERMINING INPUT FOR SPEECH PROCESSING ENGINE | February 2020 | November 2022 | Allow | 33 | 4 | 0 | No | No |
| 16802429 | METHOD AND APPARATUS FOR DETERMINING SEMANTIC MEANING OF PRONOUN | February 2020 | October 2022 | Abandon | 31 | 3 | 0 | No | No |
| 16797339 | ELECTRONIC DEVICE AND METHOD FOR PROVIDING CONVERSATIONAL SERVICE | February 2020 | March 2023 | Allow | 37 | 1 | 0 | Yes | No |
| 16783021 | AUDIO-VISUAL SPEECH ENHANCEMENT | February 2020 | October 2021 | Allow | 20 | 1 | 0 | Yes | No |
| 16750274 | METHOD AND DEVICE FOR SPEECH RECOGNITION | January 2020 | December 2021 | Allow | 23 | 2 | 0 | No | No |
| 16742006 | Text-to-Speech Adapted by Machine Learning | January 2020 | August 2022 | Allow | 31 | 2 | 0 | Yes | Yes |
| 16733868 | COGNITIVE ANALYSIS FOR SPEECH RECOGNITION USING MULTI-LANGUAGE VECTOR REPRESENTATIONS | January 2020 | October 2022 | Allow | 33 | 2 | 0 | No | No |
| 16729112 | METHOD AND DEVICE FOR DETERMINING LOSS FUNCTION FOR AUDIO SIGNAL | December 2019 | September 2022 | Allow | 33 | 2 | 0 | No | No |
| 16715394 | ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF | December 2019 | May 2023 | Allow | 41 | 2 | 0 | Yes | No |
| 16712903 | APPARATUS, METHOD AND COMPUTER PROGRAM FOR GENERATING A REPRESENTATION OF A BANDWIDTH-EXTENDED SIGNAL ON THE BASIS OF AN INPUT SIGNAL REPRESENTATION USING A COMBINATION OF A HARMONIC BANDWIDTH-EXTENSION AND A NON-HARMONIC BANDWIDTH-EXTENSION | December 2019 | September 2020 | Allow | 10 | 0 | 0 | No | No |
| 16712486 | PROCESSING OPTIMIZATION USING MACHINE LEARNING | December 2019 | October 2023 | Allow | 46 | 3 | 0 | No | No |
| 16710756 | PREDICTIVE FEATURE ANALYSIS | December 2019 | December 2023 | Allow | 48 | 3 | 0 | Yes | No |
| 16618994 | AUTOMATICALLY DETERMINING LANGUAGE FOR SPEECH RECOGNITION OF SPOKEN UTTERANCE RECEIVED VIA AN AUTOMATED ASSISTANT INTERFACE | December 2019 | March 2022 | Allow | 27 | 1 | 0 | Yes | No |
| 16697495 | DIALOGUE SYSTEM, ELECTRONIC APPARATUS AND METHOD FOR CONTROLLING THE DIALOGUE SYSTEM | November 2019 | November 2023 | Abandon | 48 | 3 | 0 | No | No |
| 16617975 | RECOMMENDING AUTOMATED ASSISTANT ACTION FOR INCLUSION IN AUTOMATED ASSISTANT ROUTINE | November 2019 | March 2022 | Allow | 28 | 0 | 0 | Yes | No |
| 16696188 | DYNAMIC HASHTAG ORDERING BASED ON PROJECTED INTEREST | November 2019 | January 2021 | Allow | 14 | 1 | 0 | Yes | No |
| 16692432 | PROVIDING COMMAND BUNDLE SUGGESTIONS FOR AN AUTOMATED ASSISTANT | November 2019 | September 2021 | Allow | 22 | 1 | 0 | Yes | No |
| 16690400 | SYSTEMS AND METHODS FOR LOCAL INTERPRETATION OF VOICE QUERIES | November 2019 | March 2023 | Allow | 40 | 2 | 0 | Yes | No |
| 16613005 | DIRECTING A VEHICLE CLIENT DEVICE TO USE ON-DEVICE FUNCTIONALITY | November 2019 | December 2021 | Allow | 25 | 0 | 0 | Yes | No |
| 16611276 | AUDIO GUIDANCE GENERATION DEVICE, AUDIO GUIDANCE GENERATION METHOD, AND BROADCASTING SYSTEM | November 2019 | March 2022 | Allow | 29 | 2 | 0 | Yes | No |
| 16667533 | SYSTEMS AND METHODS FOR PROVIDING COMMUNICATION SERVICES | October 2019 | August 2023 | Allow | 46 | 4 | 0 | Yes | No |
| 16599150 | TRANSLATION DEVICE | October 2019 | May 2022 | Abandon | 31 | 1 | 0 | No | No |
| 16599947 | DISPLAY DEVICE AND METHOD FOR CONTROLLING THE SAME | October 2019 | August 2022 | Allow | 34 | 3 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner ARMSTRONG, ANGELA A.
With a 23.1% reversal rate, the PTAB affirms the examiner's rejections in the vast majority of cases. This reversal rate is below the USPTO average, indicating that appeals face more challenges here than typical.
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, 35.6% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is above the USPTO average, suggesting that filing an appeal can be an effective strategy for prompting reconsideration.
⚠ 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 ARMSTRONG, ANGELA A works in Art Unit 2659 and has examined 464 patent applications in our dataset. With an allowance rate of 78.0%, this examiner has a below-average tendency to allow applications. Applications typically reach final disposition in approximately 34 months.
Examiner ARMSTRONG, ANGELA A's allowance rate of 78.0% places them in the 38% percentile among all USPTO examiners. This examiner has a below-average tendency to allow applications.
On average, applications examined by ARMSTRONG, ANGELA A receive 2.58 office actions before reaching final disposition. This places the examiner in the 87% percentile for office actions issued. This examiner issues more office actions than most examiners, which may indicate thorough examination or difficulty in reaching agreement with applicants.
The median time to disposition (half-life) for applications examined by ARMSTRONG, ANGELA A is 34 months. This places the examiner in the 24% percentile for prosecution speed. Applications take longer to reach final disposition with this examiner compared to most others.
Conducting an examiner interview provides a +10.8% benefit to allowance rate for applications examined by ARMSTRONG, ANGELA A. This interview benefit is in the 48% percentile among all examiners. Recommendation: Interviews provide a below-average benefit with this examiner.
When applicants file an RCE with this examiner, 24.1% of applications are subsequently allowed. This success rate is in the 25% percentile among all examiners. Strategic Insight: RCEs show below-average effectiveness with this examiner. Carefully evaluate whether an RCE or continuation is the better strategy.
This examiner enters after-final amendments leading to allowance in 27.3% of cases where such amendments are filed. This entry rate is in the 30% 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, 40.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 35% percentile among all examiners. Note: Pre-appeal conferences show below-average success with this examiner. Consider whether your arguments are strong enough to warrant a PAC request.
This examiner withdraws rejections or reopens prosecution in 65.8% of appeals filed. This is in the 41% percentile among all examiners. Of these withdrawals, 44.0% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner shows below-average willingness to reconsider rejections during appeals. Be prepared to fully prosecute appeals if filed.
When applicants file petitions regarding this examiner's actions, 43.8% are granted (fully or in part). This grant rate is in the 47% percentile among all examiners. Strategic Note: Petitions show below-average success regarding this examiner's actions. Ensure you have a strong procedural basis before filing.
Examiner's Amendments: This examiner makes examiner's amendments in 0.4% of allowed cases (in the 58% percentile). This examiner makes examiner's amendments more often than average to place applications in condition for allowance (MPEP § 1302.04).
Quayle Actions: This examiner issues Ex Parte Quayle actions in 5.5% of allowed cases (in the 80% percentile). Per MPEP § 714.14, a Quayle action indicates that all claims are allowable but formal matters remain. This examiner frequently uses Quayle actions compared to other examiners, which is a positive indicator that once substantive issues are resolved, allowance follows quickly.
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.