Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 17135539 | Stereo Signal Encoding Method and Apparatus, and Stereo Signal Decoding Method and Apparatus | December 2020 | May 2022 | Allow | 17 | 1 | 0 | No | No |
| 17135114 | CONFIDENCE CLASSIFIER WITHIN CONTEXT OF INTENT CLASSIFICATION | December 2020 | September 2022 | Allow | 20 | 1 | 0 | No | No |
| 17135548 | Stereo Signal Encoding Method and Apparatus, and Stereo Signal Decoding Method and Apparatus | December 2020 | July 2022 | Allow | 18 | 1 | 0 | No | No |
| 17255511 | INFORMATION PROCESSING APPARATUS, CONTROL METHOD, AND PROGRAM | December 2020 | May 2022 | Allow | 16 | 1 | 0 | Yes | No |
| 17130299 | METHOD FOR TRAINING READING COMPREHENSION MODEL, ELECTRONIC DEVICE, AND STORAGE MEDIUM | December 2020 | October 2023 | Allow | 34 | 1 | 0 | No | No |
| 17124317 | SYSTEMS AND METHODS FOR NATURAL LANGUAGE PROCESSING USING JOINT ENERGY-BASED MODELS | December 2020 | November 2023 | Allow | 35 | 1 | 0 | No | No |
| 17117868 | DOMAIN-NAME BASED OPERATING ENVIRONMENT FOR DIGITAL ASSISTANTS AND RESPONDERS | December 2020 | April 2023 | Allow | 28 | 2 | 0 | Yes | No |
| 17111893 | ENERGY LOSSLESS-ENCODING METHOD AND APPARATUS, AUDIO ENCODING METHOD AND APPARATUS, ENERGY LOSSLESS-DECODING METHOD AND APPARATUS, AND AUDIO DECODING METHOD AND APPARATUS | December 2020 | February 2022 | Allow | 14 | 1 | 0 | Yes | No |
| 17104400 | DEVICE AND METHOD FOR ENCODING / DECODING AUDIO SIGNAL USING FILTER BANK | November 2020 | June 2022 | Abandon | 18 | 2 | 0 | No | No |
| 17101930 | Vector Representation Based on Context | November 2020 | July 2022 | Allow | 20 | 1 | 0 | Yes | No |
| 17100169 | DEPTHWISE SEPARABLE CONVOLUTIONS FOR NEURAL MACHINE TRANSLATION | November 2020 | June 2023 | Allow | 31 | 3 | 0 | Yes | No |
| 17090801 | TRANSLATION TRAINING WITH CROSS-LINGUAL MULTI-MEDIA SUPPORT | November 2020 | October 2021 | Allow | 11 | 0 | 0 | No | No |
| 17083389 | AUDIO QUALITY FEEDBACK DURING LIVE TRANSMISSION FROM A SOURCE | October 2020 | July 2023 | Allow | 33 | 3 | 0 | Yes | No |
| 17081906 | MULTI-PERSONA SOCIAL AGENT | October 2020 | April 2023 | Allow | 30 | 2 | 0 | Yes | No |
| 17080478 | SYSTEMS AND METHODS FOR MULTI-SCALE PRE-TRAINING WITH DENSELY CONNECTED TRANSFORMER | October 2020 | November 2023 | Allow | 37 | 1 | 0 | No | No |
| 17063984 | APPARATUS AND METHOD FOR MONITORING AND CONTROLLING OF A NEURAL NETWORK USING ANOTHER NEURAL NETWORK IMPLEMENTED ON ONE OR MORE SOLID-STATE CHIPS | October 2020 | April 2022 | Allow | 19 | 1 | 0 | No | No |
| 17062459 | INTERACTIVE VOICE FEEDBACK SYSTEM AND METHOD THEREOF | October 2020 | January 2023 | Abandon | 27 | 2 | 0 | No | No |
| 17045103 | SUPPORT FOR GENERATION OF COMFORT NOISE | October 2020 | February 2022 | Allow | 16 | 1 | 0 | No | No |
| 17062376 | VOICE-ACTIVATED SELECTIVE MEMORY FOR VOICE-CAPTURING DEVICES | October 2020 | January 2023 | Allow | 28 | 3 | 0 | Yes | No |
| 17037936 | METHOD AND SYSTEM FOR EXTRACTION OF KEY-TERMS AND SYNONYMS FOR THE KEY-TERMS | September 2020 | May 2022 | Allow | 20 | 1 | 0 | No | No |
| 17038027 | VOICE COMMAND EXECUTION | September 2020 | October 2022 | Allow | 25 | 2 | 0 | Yes | No |
| 17039852 | ARTIFICIAL INTELLIGENCE AND CROWDSOURCED TRANSLATION PLATFORM | September 2020 | January 2022 | Allow | 16 | 1 | 0 | No | No |
| 17032653 | TWO STAGE USER CUSTOMIZABLE WAKE WORD DETECTION | September 2020 | May 2023 | Allow | 32 | 1 | 0 | No | No |
| 17031564 | SYSTEM, METHOD, AND COMPUTER PROGRAM FOR OBTAINING A UNIFIED NAMED ENTITY RECOGNITION MODEL WITH THE COLLECTIVE PREDICTIVE CAPABILITIES OF TEACHER MODELS WITH DIFFERENT TAG SETS USING MARGINAL DISTILLATION | September 2020 | August 2022 | Allow | 23 | 0 | 0 | No | No |
| 17030451 | VOICE ENABLEMENT AND DISABLEMENT OF SPEECH PROCESSING FUNCTIONALITY | September 2020 | September 2023 | Allow | 36 | 5 | 0 | Yes | No |
| 17018893 | ASYNCHRONOUS PROCESSING OF USER REQUESTS | September 2020 | December 2021 | Allow | 15 | 1 | 0 | No | No |
| 17015788 | ELECTRONIC APPARATUS FOR SELECTING AI ASSISTANT AND RESPONSE PROVIDING METHOD THEREOF | September 2020 | February 2023 | Abandon | 30 | 3 | 0 | No | No |
| 17010770 | Utilizing Autocompletion as a Data Discovery Scaffold for Supporting Visual Analysis | September 2020 | August 2023 | Allow | 36 | 1 | 0 | No | No |
| 16975892 | CONVOLUTIONAL NEURAL NETWORK FOR ESTIMATING A SOLAR ENERGY PRODUCTION INDICATOR | August 2020 | January 2024 | Allow | 40 | 2 | 0 | Yes | No |
| 16997024 | CONVERSATIONAL RECOVERY FOR VOICE USER INTERFACE | August 2020 | March 2022 | Allow | 19 | 1 | 0 | No | No |
| 16996761 | DETECTING EXTRANEOUS TOPIC INFORMATION USING ARTIFICIAL INTELLIGENCE MODELS | August 2020 | August 2022 | Allow | 24 | 1 | 0 | No | No |
| 16992306 | USING A GENERATIVE ADVERSARIAL NETWORK TO TRAIN A SEMANTIC PARSER OF A DIALOG SYSTEM | August 2020 | October 2023 | Allow | 38 | 1 | 0 | Yes | No |
| 16939104 | FREQUENCY BAND EXTENSION IN AN AUDIO SIGNAL DECODER | July 2020 | January 2022 | Allow | 17 | 1 | 0 | No | No |
| 16926818 | FREQUENCY BAND EXTENSION IN AN AUDIO SIGNAL DECODER | July 2020 | December 2021 | Allow | 17 | 1 | 0 | No | No |
| 16924835 | Architecture for a Hub Configured to Control a Second Device While a Connection to a Remote System is Unavailable | July 2020 | July 2023 | Allow | 36 | 3 | 0 | Yes | No |
| 16923123 | WORD AND IMAGE RELATIONSHIPS IN COMBINED VECTOR SPACE | July 2020 | September 2022 | Allow | 26 | 2 | 0 | Yes | No |
| 16914524 | Synthesizing Patient-Specific Speech Models | June 2020 | May 2022 | Allow | 22 | 1 | 0 | Yes | No |
| 16907953 | LINEAR FILTERING FOR NOISE-SUPPRESSED SPEECH DETECTION VIA MULTIPLE NETWORK MICROPHONE DEVICES | June 2020 | July 2022 | Allow | 25 | 1 | 0 | No | No |
| 16903125 | VOICE INSTRUCTIONS DURING NAVIGATION | June 2020 | November 2021 | Allow | 17 | 2 | 0 | Yes | No |
| 16900481 | SYSTEM AND METHOD FOR BI-DIRECTIONAL TRANSLATION USING SUM-PRODUCT NETWORKS | June 2020 | October 2022 | Allow | 28 | 2 | 0 | Yes | No |
| 16899323 | MULTI-MODE NOISE CANCELLATION FOR VOICE DETECTION | June 2020 | July 2023 | Abandon | 37 | 4 | 0 | Yes | No |
| 16897673 | AUTOMATIC SPEECH RECOGNITION SYSTEM ADDRESSING PERCEPTUAL-BASED ADVERSARIAL AUDIO ATTACKS | June 2020 | September 2021 | Allow | 15 | 1 | 0 | No | No |
| 15929922 | UPDATING A SPEECH GENERATION SETTING BASED ON USER SPEECH | May 2020 | December 2021 | Allow | 18 | 1 | 0 | Yes | No |
| 16767397 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM | May 2020 | June 2022 | Allow | 25 | 1 | 0 | Yes | No |
| 15733127 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM | May 2020 | December 2021 | Allow | 19 | 0 | 0 | No | No |
| 16875919 | Computing Graph Similarity via Graph Matching | May 2020 | July 2023 | Allow | 38 | 1 | 0 | No | No |
| 16869143 | Signal filtering | May 2020 | August 2022 | Allow | 27 | 1 | 0 | No | No |
| 16868954 | TEMPORAL NOISE SHAPING | May 2020 | March 2021 | Allow | 10 | 0 | 0 | No | No |
| 16865797 | AUDIO PROCESSING IN A LOW-BANDWIDTH NETWORKED SYSTEM | May 2020 | November 2021 | Allow | 18 | 1 | 0 | Yes | No |
| 16760591 | GENERATION OF A CONTROL SYSTEM FOR A TARGET SYSTEM | April 2020 | February 2023 | Allow | 33 | 2 | 0 | Yes | No |
| 16860299 | MODIFYING FOLLOW ON ACTIONS BASED ON USER ACTIVITY | April 2020 | February 2023 | Allow | 34 | 3 | 0 | Yes | No |
| 16860950 | SYSTEM FOR GENERATION AND MAINTENANCE OF VERIFIED DATA RECORDS | April 2020 | May 2022 | Allow | 25 | 1 | 0 | No | No |
| 16859106 | APPARATUS AND METHOD FOR ENCODING AND DECODING AN AUDIO SIGNAL USING DOWNSAMPLING OR INTERPOLATION OF SCALE PARAMETERS | April 2020 | February 2021 | Allow | 10 | 0 | 0 | No | No |
| 16755937 | INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHOD | April 2020 | June 2022 | Allow | 26 | 2 | 0 | No | No |
| 16833781 | Forecasting routines utilizing a mixer to combine Deep Neural Network (DNN) forecasts of multi-variate time-series datasets | March 2020 | May 2023 | Allow | 38 | 1 | 0 | No | No |
| 16648668 | AUDIO FILE ENVELOPE BASED ON RMS POWER IN SEQUENCES OF SUB-WINDOWS | March 2020 | February 2022 | Allow | 23 | 1 | 0 | No | No |
| 16817944 | MACHINE LEARNING USED TO DETECT ALIGNMENT AND MISALIGNMENT IN CONVERSATION | March 2020 | July 2023 | Allow | 40 | 3 | 0 | No | No |
| 16818898 | LANGUAGE PROCESSING USING A NEURAL NETWORK | March 2020 | December 2020 | Allow | 9 | 2 | 0 | Yes | No |
| 16645058 | INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD | March 2020 | November 2022 | Allow | 33 | 2 | 0 | No | No |
| 16810524 | METHODS, DEVICES AND MEDIA PROVIDING AN INTEGRATED TEACHER-STUDENT SYSTEM | March 2020 | September 2023 | Allow | 43 | 2 | 0 | No | No |
| 16810608 | SPATIALLY AWARE MULTIBAND COMPRESSION SYSTEM WITH PRIORITY | March 2020 | April 2021 | Allow | 13 | 1 | 0 | Yes | No |
| 16807088 | METHOD FOR GENERATING FILLED PAUSE DETECTING MODEL CORRESPONDING TO NEW DOMAIN AND DEVICE THEREFOR | March 2020 | May 2022 | Allow | 27 | 1 | 0 | No | No |
| 16805943 | HOME AUTOMATION CONTROL SYSTEM | March 2020 | December 2021 | Allow | 21 | 2 | 0 | No | No |
| 16643501 | ELECTRONIC DEVICE, CHARGING STAND, COMMUNICATION SYSTEM, METHOD, AND PROGRAM | February 2020 | May 2022 | Allow | 26 | 2 | 0 | Yes | No |
| 16800917 | METHOD AND APPARATUS FOR TEMPORARY HANDS-FREE VOICE INTERACTION | February 2020 | February 2022 | Allow | 24 | 2 | 0 | Yes | No |
| 16799606 | Method for Processing Application Resources and Related Products | February 2020 | December 2022 | Abandon | 34 | 3 | 0 | Yes | No |
| 16797484 | Stereo Signal Encoding Method and Encoding Apparatus | February 2020 | September 2021 | Allow | 19 | 0 | 0 | No | No |
| 16793409 | ELECTRONIC APPARATUS, CONTROLLING METHOD OF ELECTRONIC APPARATUS AND SERVER | February 2020 | November 2020 | Allow | 9 | 2 | 0 | Yes | No |
| 16742753 | INFORMATION PROCESSING METHOD, SYSTEM, ELECTRONIC DEVICE, AND COMPUTER STORAGE MEDIUM | January 2020 | January 2023 | Allow | 37 | 4 | 0 | Yes | No |
| 16628235 | Low Complexity Dense Transient Events Detection and Coding | January 2020 | September 2021 | Allow | 20 | 1 | 0 | No | No |
| 16727247 | VOICE CONTROL METHOD AND APPARATUS OF ELECTRONIC DEVICE, AND STORAGE MEDIUM | December 2019 | August 2022 | Abandon | 32 | 2 | 0 | No | No |
| 16724415 | SYSTEM AND METHOD FOR ACTIVATION OF VOICE INTERACTIVE SERVICES BASED ON USER STATE | December 2019 | November 2020 | Allow | 11 | 1 | 0 | No | No |
| 16714386 | METHOD OF PERFORMING FUNCTION OF ELECTRONIC DEVICE AND ELECTRONIC DEVICE USING SAME | December 2019 | October 2022 | Allow | 34 | 4 | 0 | Yes | No |
| 16708296 | SPATIALLY INFORMED AUDIO SIGNAL PROCESSING FOR USER SPEECH | December 2019 | July 2022 | Allow | 32 | 3 | 0 | Yes | No |
| 16707916 | CUSTOM CONVOLUTIONAL NEURAL NETWORK ARCHITECTURES FOR EXPOSURE DETECTION | December 2019 | June 2023 | Allow | 42 | 2 | 0 | No | No |
| 16620059 | Efficient Storage Of Multiple Structured Codebooks | December 2019 | July 2021 | Allow | 20 | 1 | 0 | No | No |
| 16700357 | Participant-Tuned Filtering Using Deep Neural Network Dynamic Spectral Masking for Conversation Isolation and Security in Noisy Environments | December 2019 | December 2021 | Allow | 25 | 2 | 0 | Yes | No |
| 16617408 | VOICE RECOGNITION APPARATUS AND METHOD OF VOICE RECOGNITION | November 2019 | February 2022 | Abandon | 27 | 2 | 0 | Yes | No |
| 16617219 | SPEAKER DIARIZATION USING AN END-TO-END MODEL | November 2019 | September 2022 | Allow | 33 | 4 | 0 | Yes | No |
| 16694721 | PRESERVING AND PROCESSING AMBIGUITY IN NATURAL LANGUAGE | November 2019 | June 2021 | Allow | 18 | 1 | 0 | No | No |
| 16693784 | VOICE-CONTROLLED COMMUNICATION REQUESTS AND RESPONSES | November 2019 | March 2021 | Allow | 16 | 2 | 0 | Yes | No |
| 16688958 | DEPTHWISE SEPARABLE CONVOLUTIONS FOR NEURAL MACHINE TRANSLATION | November 2019 | August 2020 | Allow | 8 | 1 | 0 | Yes | No |
| 16682921 | CONVOLUTIONAL NEURAL NETWORK WITH PHONETIC ATTENTION FOR SPEAKER VERIFICATION | November 2019 | November 2021 | Allow | 24 | 0 | 0 | No | No |
| 16673005 | FRAME ERROR CONCEALMENT METHOD AND APPARATUS, AND AUDIO DECODING METHOD AND APPARATUS | November 2019 | December 2020 | Allow | 13 | 1 | 0 | No | No |
| 16666034 | MULTI-MODALITY PRESENTATION AND EXECUTION ENGINE | October 2019 | July 2020 | Allow | 9 | 1 | 0 | No | No |
| 16664459 | USER FEEDBACK FOR SPEECH INTERACTIONS | October 2019 | November 2020 | Allow | 13 | 2 | 0 | No | No |
| 16661124 | METHODS AND APPARATUS FOR A VOICE DETECTOR | October 2019 | April 2022 | Allow | 30 | 3 | 0 | No | No |
| 16659808 | ASCRIBING GROUND TRUTH PERFORMANCE TO ANNOTATION BLOCKS | October 2019 | August 2021 | Allow | 22 | 2 | 0 | Yes | No |
| 16659092 | AUTOMATIC TUNING OF MACHINE LEARNING PARAMETERS FOR NON-STATIONARY E-COMMERCE DATA | October 2019 | July 2022 | Allow | 33 | 1 | 0 | Yes | No |
| 16659013 | MACHINE LEARNING MODEL DEVELOPMENT | October 2019 | August 2022 | Allow | 34 | 0 | 0 | No | No |
| 16658122 | Game-Theoretic Frameworks for Deep Neural Network Rationalization | October 2019 | September 2022 | Allow | 35 | 0 | 0 | No | No |
| 16593041 | CODING MODE DETERMINATION METHOD AND APPARATUS, AUDIO ENCODING METHOD AND APPARATUS, AND AUDIO DECODING METHOD AND APPARATUS | October 2019 | January 2021 | Allow | 15 | 1 | 0 | No | No |
| 16587053 | GENERATING STRUCTURED QUERIES FROM NATURAL LANGUAGE TEXT | September 2019 | March 2021 | Allow | 17 | 1 | 0 | No | No |
| 16588627 | INTERACTING WITH A VIRTUAL ASSISTANT TO RECEIVE UPDATES | September 2019 | June 2022 | Allow | 33 | 4 | 0 | Yes | No |
| 16582324 | VOICE SYNTHESIZED PARTICIPATORY RHYMING CHAT BOT | September 2019 | January 2021 | Allow | 16 | 1 | 0 | No | No |
| 16577698 | Parameter-Efficient Multi-Task and Transfer Learning | September 2019 | January 2023 | Allow | 40 | 1 | 0 | Yes | No |
| 16577126 | UPDATING A SPEECH GENERATION SETTING BASED ON USER SPEECH | September 2019 | March 2020 | Allow | 6 | 2 | 0 | Yes | No |
| 16565239 | DIALOG SYSTEM AND DIALOG METHOD | September 2019 | November 2021 | Allow | 26 | 1 | 0 | No | No |
| 16555251 | AUDIO DATA AUGMENTATION FOR MACHINE LEARNING OBJECT CLASSIFICATION | August 2019 | June 2022 | Abandon | 33 | 2 | 0 | No | No |
| 16489242 | ELECTRONIC DEVICE AND CONTROL METHOD THEREFOR | August 2019 | February 2022 | Abandon | 30 | 1 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner TZENG, FENG-TZER.
With a 16.7% 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, 55.6% 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 TZENG, FENG-TZER works in Art Unit 2659 and has examined 390 patent applications in our dataset. With an allowance rate of 73.8%, this examiner has a below-average tendency to allow applications. Applications typically reach final disposition in approximately 27 months.
Examiner TZENG, FENG-TZER's allowance rate of 73.8% places them in the 40% percentile among all USPTO examiners. This examiner has a below-average tendency to allow applications.
On average, applications examined by TZENG, FENG-TZER receive 2.29 office actions before reaching final disposition. This places the examiner in the 60% 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 TZENG, FENG-TZER is 27 months. This places the examiner in the 71% percentile for prosecution speed. Prosecution timelines are slightly faster than average with this examiner.
Conducting an examiner interview provides a +7.9% benefit to allowance rate for applications examined by TZENG, FENG-TZER. This interview benefit is in the 38% percentile among all examiners. Recommendation: Interviews provide a below-average benefit with this examiner.
When applicants file an RCE with this examiner, 21.5% of applications are subsequently allowed. This success rate is in the 28% 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 34.9% of cases where such amendments are filed. This entry rate is in the 54% percentile among all examiners. Strategic Recommendation: This examiner shows above-average receptiveness to after-final amendments. If your amendments clearly overcome the rejections and do not raise new issues, consider filing after-final amendments before resorting to an RCE.
When applicants request a pre-appeal conference (PAC) with this examiner, 52.6% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 47% 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 83.3% of appeals filed. This is in the 76% percentile among all examiners. Of these withdrawals, 33.3% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner frequently reconsiders rejections during the appeal process compared to other examiners. Per MPEP § 1207.01, all appeals must go through a mandatory appeal conference. Filing a Notice of Appeal may prompt favorable reconsideration even before you file an Appeal Brief.
When applicants file petitions regarding this examiner's actions, 64.9% are granted (fully or in part). This grant rate is in the 68% percentile among all examiners. Strategic Note: Petitions show above-average success regarding this examiner's actions. Petitionable matters include restriction requirements (MPEP § 1002.02(c)(2)) and various procedural issues.
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 28% 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.