Source: https://www.knobbe.com/news/2018/10/how-unpredictable-alice-analysis
Timestamp: 2019-12-14 21:43:26
Document Index: 595683427

Matched Legal Cases: ['§ 101', '§ 101', '§ 101', '§ 101', '§ 101', '§ 101', '§ 101', '§ 101', '§ 101', '§ 101', '§ 101', '§ 101', '§ 101', '§ 101', '§ 101', '§ 101', '§ 101', '§ 101', '§ 101', '§ 101', '§ 101', '§ 101']

How Unpredictable is the Alice Analysis? | Knobbe Martens
Tue, 10/16/2018 - 12:00 | Jeremy Anapol
One set of data shows the Federal Circuit’s affirmance rate in appeals involving § 101, as compared to patent appeals in general. Much of this data comes from a recent law review article by Paul R. Gugliuzza and Mark A. Lemley. (Judge Plager cited a footnote from the article in his Interval Licensing opinion but did not address the article’s empirical data.[iii]) Another set of data shows affirmance rates in ex parte patent appeals before the Patent Trial and Appeal Board (“PTAB”). This data comes from Juristat’s online patent analytics tool.[iv]
The likelihood of affirmance on appeal is a narrow but useful measure of predictability. Judge Plager’s Interval Licensing opinion seems to recognize the importance of this metric. For example, his opinion argues that the abstract-idea doctrine “falls short in the sense of providing a trial judge with confidence that the judgment will be understood by the judges who come after”—i.e., the appellate judges who “have the final say in the matter.”[v]
If § 101 decisions were not just difficult but truly indeterminate, one might expect such decisions to be reversed more frequently than decisions involving other legal issues. Indeed, appellate judges should have no trouble reversing § 101 decisions that they regard as incorrect, because such decisions are mostly reviewed de novo.[vi] But the data indicates that § 101 decisions are affirmed more frequently than other types of decisions. Thus, the data does not seem to support the premise that § 101 decisions are indeterminate.
Those who are skeptical of § 101 decisions might argue that their high affirmance rate is a result of their indeterminate nature, not their predictability. After all, if a question has no objectively correct answer that can be articulated as a rationale for reversal, an appellate judge may be more likely to let the lower court decision stand. In practice, however, this argument is implausible. Even Judge Linn and Judge Plager, in their opinions criticizing § 101, stated that they were bound by precedent to concur as to the invalidity of at least some claims.[vii] These judges’ conclusions that precedent dictated specific outcomes—outcomes that both judges wished to avoid, in fact—undermines the notion that the § 101 analysis cannot yield definitive answers.[viii]
The Federal Circuit’s affirmance rate in § 101 cases is markedly higher than its overall affirmance rate for all patent cases. Specifically, for the three-year post-Alice time period covered by Gugliuzza and Lemley, the Federal Circuit’s affirmance rate in § 101 cases was about 88%.[ix],[x] In contrast, the Federal Circuit’s overall affirmance rate in patent cases last year was about 75%.[xi]
The overall affirmance rate cited above comes from an article that provides data for 2017 only. Data for prior years is available in two other studies, but these studies use a different counting methodology that makes them less useful as a basis for comparison.[xii] Specifically, the studies count precedential opinions only. They omit non-precedential opinions and summary affirmances under Rule 36, so the affirmance rates they present are understated. Still, the studies provide further evidence that the Federal Circuit’s affirmance rates for § 101 cases are at least as high as the court’s overall affirmance rates. The first study—covering precedential cases from 2015 and 2016— shows a § 101 affirmance rate of 57%, compared to an overall affirmance rate of 56%.[xiii] More dramatically, the second study—covering precedential cases from 2016 and 2017—shows a § 101 affirmance rate of 69%, compared to an overall affirmance rate of 59%.[xiv]
The data regarding Federal Circuit affirmance rates is summarized in the following table. As the table shows, the affirmance rates in § 101 cases consistently exceed the overall affirmance rates for all types of patent cases.
Additional data on the predictability of § 101 decisions is available in the context of PTAB appeals. These appeals arise from examiners’ rejections of pending patent applications. Juristat’s patent analytics platform tracks the outcomes of such appeals.
Among many other useful tools, Juristat can aggregate appeal data for individual art units, USPC/CPC classes, and examiners. The data presented below focuses on USPC 705, which covers the art units with the most Alice rejections.[xv]
Juristat also tracks the types of rejections issued in each application. Thus, it is possible to compare the PTAB’s affirmance rate in applications with Alice rejections to the overall affirmance rate for a class (here, USPC 705). One such comparison is shown below. Note, however, that even when an application has faced an Alice rejection, that rejection may not have been at issue on appeal. Thus, the data presented below provides only a rough approximation of the PTAB’s affirmance rate for Alice rejections.
The comparison above is limited to patent applications with a disposition date in 2018, which means that the applications were allowed or abandoned this year. Juristat provides data for previous years also, though such data is omitted from this comparison to avoid capturing any appeals arising from pre-Alice rejections.[xvi]
The Juristat data suggests that, in PTAB appeals as in Federal Circuit appeals, the affirmance rate for Alice rejections exceeds the overall affirmance rate.
The empirical data presented above belies the notion that it is impossibly difficult to predict the ultimate outcome of the Alice analysis. Such predictions may be difficult in many cases and uncertain in some, but the same is true for many issues in patent law, such as obviousness and claim construction. Whatever flaws the Alice analysis may suffer from, the data above regarding likelihood of affirmance does not show a clear basis for the widely held sense that Alice outcomes are especially unpredictable.
Editor: Phillip M. Nelson
[i] Smart Systems Innovations, LLC v. Chicago Transit Authority, 873 F.3d 1364, 1377 (Fed. Cir. 2017) (Linn, J., concurring-in-part and dissenting-in-part).
[ii] Interval Licensing LLC v. AOL, Inc., 896 F.3d 1335, 1348 (Fed. Cir. 2018) (Plager, J., concurring-in-part and dissenting-in-part).
[iii] Id. at 1354 n.22 (citing Paul R. Gugliuzza & Mark A. Lemley, Can a Court Change the Law by Saying Nothing?, 71 Vand. L. Rev. 765, 777 n.70 (2018)).
[iv] The authors thank Juristat for providing access to this data.
[v] Interval Licensing, 896 F.3d at 1351.
[vi] E.g., Voter Verified, Inc. v. Election Sys. & Software LLC, 887 F.3d 1376, 1384 (Fed. Cir. 2018) (“Patent eligibility under § 101 ‘is ultimately an issue of law we review de novo.’”).
[vii] Smart Systems, 873 F.3d at 1376; Interval Licensing, 896 F.3d at 1348.
[viii] Further, most § 101 decisions at the Federal Circuit hold the patent claims at issue invalid. At the PTAB, all of the § 101 decisions on appeal are rejections. In both tribunals, the burden is on the party challenging the patent claim to show that the claim fails to satisfy § 101. If an appellate judge truly believed that objectively correct decisions were impossible under § 101, the judge should arguably vote to reverse all § 101 rejections because no challenger could conceivably carry its burden.
[ix] The affirmance rate is derived from Gugliuzza and Lemley as follows:
Aff. Rate
G&L Cite
p. 784, n.91
Non-Prec.
[x] There is an ambiguity in Gugliuzza and Lemley’s data. They report on page 783 of their article that the Federal Circuit found patents invalid under § 101 in 26 out of 33 precedential decisions. In footnote 91 on the next page, they specify the affirmance rate for only 24 of these 26 decisions. Thus, two decisions are unaccounted for. The table provided here assumes that these two decisions were affirmed-in-part and reversed-in-part (i.e., “mixed”). Such decisions are not counted toward the affirmance rate.
[xi] The data regarding the overall affirmance rate is taken from the following article: https://www.perkinscoie.com/images/content/1/8/v4/184121/Fed.-Circ.-s-2017-Patent-Decisions-A-Statistical-Analysis.pdf (Page 2).
[xii] https://www.gibsondunn.com/wp-content/uploads/2017/11/Federal-Circuit-2016-2017-Year-in-Review-1.pdf (“2016/2017 Study”) and https://www.gibsondunn.com/wp-content/uploads/documents/publications/Federal-Circuit-2015-2016-Year-in-Review.pdf (“2015/2016 Study”).
[xiii] 2015/2016 Study, p. 9.
[xiv] 2016/2017 Study, p. 9.
[xv] The art units with the most Alice rejections are identified in the following article: http://www.ipwatchdog.com/2015/12/14/the-most-likely-art-units-for-alice-rejections/. Those art units correspond primarily to Class 705, as described here: https://www.uspto.gov/patents-application-process/classes-arranged-art-unit-art-units-2914-3715.
[xvi] Alice was decided in the middle of 2014 and PTAB appeals often take three or more years to fully resolve (from the time of the examiner’s appealed rejection to the notice of allowance following a successful appeal). Including applications with disposition dates before 2018 would therefore capture appeals that arose from pre-Alice rejections. Such applications may have faced Alice rejections later, but the rejections likely would have been issued after the appeal. Thus, the Alice rejections would not have been before the PTAB and the PTAB’s decision could not shed any light on the predictability of the Alice analysis.