What Lex Machina charges $30k/year for. Institution rates, top petitioners, APJ panel intelligence, and timing data — pulled directly from the USPTO PTAB API and published free.
A 3-page PDF with the most actionable insights — institution rate trends, the most petitioner-friendly APJ panels, and timing patterns that affect strategy. No pitch. Just the data.
The Patent Trial and Appeal Board (PTAB) is an administrative court inside the USPTO. It was created by the America Invents Act (AIA) in 2012 specifically to give companies a faster, cheaper way to challenge patent validity than federal court litigation.
The primary mechanism is called Inter Partes Review (IPR). Any person or company can file a petition asking PTAB to review whether an issued patent's claims are valid based on prior art. If PTAB agrees to hear the case (an "institution" decision), the patent owner must defend their claims before a panel of three Administrative Patent Judges (APJs). If the petitioner prevails, the claims are cancelled and the patent can no longer be enforced.
IPRs are heavily used by large technology companies to defend themselves against patent enforcement. They're also used strategically before or during litigation to weaken a patent while a parallel case proceeds in federal court.
IPR is the single most common tool used to invalidate patents after they issue. If you own patents in a competitive tech sector, understanding your IPR exposure is not optional.
PTAB institution rates and procedures have been in flux. The Fintiv doctrine (a 2020 PTAB precedent that allowed denial of IPR petitions if parallel district court litigation was advanced) was scaled back by the Biden administration, leading to higher institution rates. Under the current administration, additional changes to PTAB discretion, eligibility standards, and director review powers are being actively discussed and litigated.
This matters because the same patent can be worth very different amounts depending on the current institution rate environment. A 2019 patent facing IPR in a 62% institution-rate year has a different risk profile than the same patent challenged in a 73% institution-rate year. Tracking these trends is part of managing IP risk.
The data below covers 19,140 PTAB proceedings since 2012, pulled from the USPTO's public API. No paywall. No vendor spin.
The overall institution rate across all IPR proceedings since 2012 is 60%. The reliable window for analysis is 2021–2024 — large sample sizes and complete decision records. Pre-2018 data has coverage gaps in the decisions API.
The 2021–2024 institution rate stabilized at 68–73%. This is the most reliable baseline for current petition strategy.
The 28% rate for 2025 is not a trend. Most 2025 filings are still pending — decisions have not yet been issued.
| Year | Institution Rate | Visual | Decided |
|---|---|---|---|
| 2012 | 100% | 1 | |
| 2013 | 0% | 4 | |
| 2014 | 1.6% | 61 | |
| 2015 | 2.1% | 385 | |
| 2016 | 8.2% | 196 | |
| 2017 | 10.5% | 162 | |
| 2018 | 60.2% | 113 | |
| 2019 | 55.8% | 206 | |
| 2020 | 87.8% | 532 | |
| 2021 | 69.4% | 1,583 | |
| 2022 | 72.5% | 1,879 | |
| 2023 | 70.5% | 1,764 | |
| 2024 | 68.2% | 1,862 | |
| 2025 * | 28.2% * | 1,312 |
* 2025 data is incomplete. Most 2025 petitions are still pending institution decisions. Do not use as a trend indicator.
Pre-2018 low rates reflect gaps in the decisions API endpoint, not actual historical rates. Published studies report 60–80% institution rates for 2013–2017.
Mechanical and Medical Devices leads at 66.1%. Chemical and Materials is the hardest field to institute at 50.5% — a 15-point spread that matters when evaluating petition viability across different portfolios.
Bar widths are proportional to institution rate. Bars scaled relative to the 75% maximum in this dataset for visual clarity.
Apple leads all petitioners with 1,112 filings since 2012. Meta Platforms has the highest win rate among high-volume filers at 87.3%. Netflix leads all filers with a 92% institution rate across 92 petitions.
| # | Company | Filings | Win Rate | Rate Bar | Instituted | Denied |
|---|---|---|---|---|---|---|
| 1 | Apple Inc. | 1,112 | 64.7% | 400 | 218 | |
| 2 | Samsung Electronics | 934 | 63.1% | 373 | 218 | |
| 3 | Google LLC | 580 | 60.0% | 249 | 166 | |
| 4 | Microsoft Corporation | 290 | 59.4% | 76 | 52 | |
| 5 | Intel Corporation | 254 | 53.5% | 53 | 46 | |
| 6 | Cisco Systems | 204 | 70.0% | 70 | 30 | |
| 7 | Amazon.com | 203 | 67.2% | 88 | 43 | |
| 8 | Meta Platforms | 159 | 87.3% | 131 | 19 | |
| 9 | Unified Patents | 157 | 78.6% | 66 | 18 | |
| 10 | Micron Technology | 146 | 75.0% | 69 | 23 | |
| — | Netflix (notable) | 92 | 92.0% | — | — |
Win rate = instituted / (instituted + denied). Settled and pending cases excluded. Click column headers to sort.
The most-challenged entities are overwhelmingly NPEs and patent assertion entities. Intellectual Ventures leads with 112 proceedings. Finjan is a standout: 23-of-23 decided challenges survived — the highest survival rate among high-volume respondents.
Finjan survived all 23 decided challenges. High challenge volume does not mean the patent is weak — claim scope, prosecution history, and prior art quality determine outcome.
| # | Patent Owner | Challenged | Survival Rate | Rate Bar | Instituted Against | Survived |
|---|---|---|---|---|---|---|
| 1 | Intellectual Ventures II | 112 | 14.3% | 22 | 16 | |
| 2 | Jawbone Innovations | 111 | 25.2% | 77 | 28 | |
| 3 | Netlist Inc. | 98 | 6.1% | 45 | 6 | |
| 4 | Maxell Ltd. | 94 | 10.6% | 43 | 10 | |
| 5 | Uniloc 2017 | 87 | 14.9% | 6 | 13 | |
| 6 | Masimo Corporation | 86 | 17.4% | 34 | 15 | |
| 7 | Intellectual Ventures I | 75 | 18.7% | 5 | 14 | |
| 8 | Nokia Technologies | 69 | 27.5% | 37 | 19 | |
| 9 | IP Bridge 1 | 64 | 23.4% | 9 | 15 | |
| 10 | Regeneron Pharmaceuticals | 64 | 14.1% | 29 | 9 | |
| — | Finjan (notable) | 61 | 37.7% | 23 | 23 |
Survival rate = survived / decided. Instituted Against = proceedings where institution was granted against this owner. Survived = final written decisions where the patent survived (claims upheld).
The most-filed adversarial pairs in PTAB history. Apple vs. Masimo (70 filings) is the Apple Watch health sensor dispute. Comcast vs. Rovi (63 filings, 2 institutions) shows that filing volume does not equal success.
| Petitioner | Respondent | Filings | Instituted | Win Rate | Context |
|---|---|---|---|---|---|
| Apple | Masimo Corporation | 70 | 30 | 42.9% | Apple Watch health sensor dispute |
| Comcast Cable | Rovi Guides | 63 | 2 | 3.2% | Volume ≠ success |
| Alcon Inc. | AMO Development | 41 | 22 | 53.7% | Ophthalmic devices |
| Apple | Smartflash LLC | 40 | 0 | 0% | Digital media patents |
| Micron Technology | Yangtze Memory | 38 | 24 | 63.2% | NAND memory chip war |
| Samsung | Staton Techiya | 36 | 26 | 72.2% | Audio/headset IP |
| Apple | Apex Beam Technologies | 35 | 32 | 91.4% | |
| Samsung | Netlist Inc. | 34 | 23 | 67.6% | Memory module patents |
| Abbott Diabetes Care | DexCom Inc. | 34 | 28 | 82.4% | CGM sensor dispute |
| Amazon | Nokia Technologies | 34 | 32 | 94.1% | |
| Intel | Qualcomm | 31 | 10 | 32.3% | Chip architecture war |
| Apple | Corephotonics | 33 | 14 | 42.4% | Dual-camera patents |
| Apple | Ericsson | 30 | 21 | 70.0% | SEP / standards |
| EcoFactor Inc. | 29 | 18 | 62.1% | Smart thermostat patents | |
| Netflix | Avago Technologies | 28 | 17 | 60.7% |
The PTAB issues institution decisions in a remarkably tight window. The 35-day spread between the 25th and 75th percentile shows the board runs on a strict internal clock — driven by the statutory 3-month deadline from the patent owner's preliminary response.
If you file an IPR petition today, model a final institution decision in approximately 6 months (180–201 days). The PTAB consistently hits this window. Use 190 days as your planning baseline.
The statutory path: petitioner files → patent owner files preliminary response (3 months) → PTAB issues decision (3 months from POPR). Total: ~6 months from petition filing to institution decision.
If instituted, final written decisions typically follow 12 months after institution — meaning total trial time is approximately 18 months from petition filing to FWD.
Administrative Patent Judges are not interchangeable. Institution rates range from 52% to 77% across high-volume judges. Use this data for context — not prediction. APJ assignment is not fully public or predictable, and rates reflect all case types across all technology areas.
A judge with a high institution rate may simply handle more software IPRs, which baseline-institute at a different rate than pharma. Do not use individual APJ rates as a direct prediction for your case without controlling for technology area and case type.
| # | Judge | Panels | Rate | Rate Bar | Instituted | Denied | Total Decided |
|---|---|---|---|---|---|---|---|
| 1 | Jameson Lee | 385 | 65.0% | 130 | 70 | 200 | |
| 2 | Karl D. Easthom | 325 | 70.6% | 137 | 57 | 194 | |
| 3 | Hyun J. Jung | 315 | 76.9% | 160 | 48 | 208 | |
| 4 | Josiah C. Cocks | 277 | 52.1% | 61 | 56 | 117 | |
| 5 | Thomas L. Giannetti | 268 | 61.6% | 101 | 63 | 164 | |
| 6 | Neil T. Powell | 263 | 60.1% | 113 | 75 | 188 | |
| 7 | Kevin F. Turner | 257 | 71.1% | 108 | 44 | 152 | |
| 8 | Ken B. Barrett | 248 | 66.3% | 110 | 56 | 166 | |
| 9 | Kristen L. Droesch | 246 | 72.9% | 132 | 49 | 181 | |
| 10 | Mitchell G. Weatherly | 243 | 76.6% | 82 | 25 | 107 | |
| 11 | Sheridan K. Snedden | 224 | 73.7% | 115 | 41 | 156 | |
| 12 | Justin T. Arbes | 223 | 61.8% | 68 | 42 | 110 | |
| 13 | Barbara A. Parvis | 219 | 59.6% | 93 | 63 | 156 | |
| 14 | Patrick R. Scanlon | 218 | 60.8% | 79 | 51 | 130 | |
| 15 | Georgianna W. Braden | 217 | 66.7% | 104 | 52 | 156 | |
| 16 | Meredith C. Petravick | 216 | 71.9% | 100 | 39 | 139 | |
| 17 | Michael R. Zecher | 215 | 64.2% | 77 | 43 | 120 | |
| 18 | Stacey G. White | 211 | 65.9% | 85 | 44 | 129 | |
| 19 | Thu A. Dang | 210 | 64.9% | 98 | 53 | 151 | |
| 20 | William V. Saindon | 210 | 76.9% | 93 | 28 | 121 | |
| 21 | Grace Karaffa Obermann | 208 | 53.6% | 60 | 52 | 112 | |
| 22 | Garth D. Baer | 207 | 64.9% | 96 | 52 | 148 | |
| 23 | Zhenyu Yang | 199 | 64.7% | 88 | 48 | 136 | |
| 24 | Bart A. Gerstenblith | 188 | 75.0% | 75 | 25 | 100 | |
| 25 | Scott A. Daniels | 188 | 73.7% | 87 | 31 | 118 |
Top 25 APJs by panel count. Rates reflect all case types and technology areas. Sorted by panel count descending by default.
| # | Judge Pair | Decisions |
|---|---|---|
| 1 | Kevin F. Turner & Thu A. Dang | 41 |
| 2 | Kristen L. Droesch & Nathan A. Engels | 35 |
| 3 | Jameson Lee & Karl D. Easthom | 34 |
| 4 | Jason W. Melvin & Jon M. Jurgovan | 30 |
| 5 | Jeffrey S. Smith & Kevin F. Turner | 30 |
Data source: All data pulled from the USPTO PTAB API v3 at api.uspto.gov/api/v1/patent/trials/. Two endpoints: proceedings search (19,140 records) and decisions search (20,350 records). Collected April 13, 2026.
Institution rate definition: Institution rate = decisions with outcome “instituted” / (instituted + denied). Pending, settled, and dismissed cases are excluded from the denominator.
Included in “Instituted”: Institution Granted, Final Written Decision, Affirmed, Settled After Institution, Request for Adverse Judgment.
Included in “Denied”: Institution Denied, Settled Before Institution, Dismissed Before Institution.
Pre-SAS Institute note: Before the Supreme Court’s 2018 SAS Institute v. Iancu decision, the PTAB could institute on some grounds and deny others. This analysis currently treats all pre-2018 institution decisions as binary — a known simplification.
Early year data quality: Institution rates for 2012–2017 are anomalously low in this dataset (1–10%) compared to published studies showing 60–80% rates in that era. The decisions API endpoint has incomplete coverage for older decisions. Treat pre-2018 rates as unreliable.
Entity resolution: Petitioner and respondent names are normalized using a canonical names file. “Google Inc.” and “Google LLC” may appear as separate entities — a known gap.
Reproducibility: All scripts are in the GitHub repo. Run python3 collect.py then python3 analyze.py to reproduce this dataset from scratch. Data refreshes quarterly.
This data is open source and reproducible. View the full codebase, raw data files, and methodology documentation on GitHub.
View on GitHub →The data above refreshes quarterly. PatentSignal tracks new IPR filings, institution decisions, and final written decisions as they happen — surfacing the signals that matter to your practice or portfolio.
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