Woods v. Google, LLC.

CourtDistrict Court, N.D. California
DecidedSeptember 26, 2022
Docket5:11-cv-01263
StatusUnknown

This text of Woods v. Google, LLC. (Woods v. Google, LLC.) is published on Counsel Stack Legal Research, covering District Court, N.D. California primary law. Counsel Stack provides free access to over 12 million legal documents including statutes, case law, regulations, and constitutions.

Bluebook
Woods v. Google, LLC., (N.D. Cal. 2022).

Opinion

1 2 3 UNITED STATES DISTRICT COURT 4 NORTHERN DISTRICT OF CALIFORNIA 5 SAN JOSE DIVISION 6 7 RENE CABRERA, ET AL., Case No. 5:11-cv-01263-EJD

8 Plaintiffs, ORDER RE GOOGLE’S MOTIONS TO STRIKE REPORTS OF SAUL 9 v. SOLOMON

10 GOOGLE LLC, Re: Dkt. Nos. 442, 596 Defendant. 11

12 Defendant Google LLC (“Google”) has filed two separate motions to strike the expert reports 13 of Saul Solomon pursuant to Federal Rule of Evidence 702 and Daubert v. Merrell Dow 14 Pharmaceuticals, 509 U.S. 579 (1993). ECF 442, 596.1 Plaintiffs oppose the motions (ECF 455, 15 609). For the reasons stated below, the Court grants Google’s motions in part. 16 I. BACKGROUND 17 Because the parties are intimately familiar with the history of this case, this Order sets 18 forth only what is necessary to resolve the issues presented in Google’s motion. 19 Saul Solomon (“Solomon”) is Plaintiffs’ damages expert. He issued reports on July 10, 20 2015 (ECF 441-10), January 18, 2018 (ECF 424-80), May 15, 2018 (ECF 320-14), and November 21 8, 2018 (the “Cabrera Data Report”) (ECF 424-86). Google’s Mot. at 4. In the July 10, 2015 22 report, Solomon states his opinion that restitution and contract damages resulting from Google’s 23 alleged misconduct relating to Smart Pricing and Location Targeting are measurable and can be 24 reasonably and reliably determined. ECF 441-10 at 3. Further, he states that damages and 25

26 1 Google’s motion filed as ECF 442 challenges both Solomon’s opinions and the opinions of 27 another one Plaintiffs’ experts, Dr. James L. Gibson (“Gibson”). The Court will address the portion of Google’s motion challenging Gibson’s opinions in a separate order. 1 restitution can be computed for all putative Class Members by applying a uniform methodology 2 that relies solely on Google’s data and requires no individual inquiry of any putative Class 3 Member. Id. Solomon opines that restitution for the Location Targeting claim can be measured in 4 two ways. First, Solomon says he can apply the “partial refund model” by summing the amount 5 paid by Class Members for all Out-of-Area Clicks. Id. Second, Solomon says he can estimate 6 restitution based upon the “net profits model” by applying an estimate of the applicable 7 incremental profit margin actually realized by Google on advertising revenue to the amount paid 8 by Class Members for all Out-of-Area Clicks. Id. Solomon also explains his methodology for 9 computing restitution for the Smart Pricing claim. Id. at 3-4. 10 In his January 18, 2018 report, Solomon opines in pertinent part that the revised class 11 definitions do not impact his earlier opinions. ECF 424-80. He also proposes a third method to 12 calculate restitution for the Location Targeting claim, the Smart Pricing-based restitution model 13 (“SPR Model”), which measures the difference between (i) the amount Class Members actually 14 paid for Out-of-Area Clicks and the amount Google’s Smart Pricing algorithms estimate that a 15 rational advertiser might have been willing to pay for the mistargeted clicks had the advertiser 16 been forced to pay for those Out-of-Area Clicks. Id. at 4, 9-10. The SPR Model “assumes that 17 advertisers should have to pay for the mistargeted clicks accrued due to Google’s improper 18 conduct and despite their express ‘0’ bid, and reprices the ads that were placed outside the areas 19 selected by advertisers using Google’s Smart Priced data.” Id. at 5. Solomon states that by using 20 Google’s data, as compiled by Dr. Gibson, he can reasonably and reliably measure the amount of 21 restitution under the SPR Model for all putative Class Members resulting from any Out-of-Area 22 Clicks. Id. at 8. 23 In his May 15, 2018 report, Solomon asserts that the analyses and key assumptions 24 underlying the opinions of Google’s expert, Dr. Lawrence Wu, are flawed and speculative. ECF 25 320-14 at 3-5. Solomon also takes issue with the analysis and conclusion of Google’s expert, Dr. 26 Paul Milgrom. Id. at 5. 27 In the Cabrera Data Report, Solomon measures the damages and restitution for Plaintiff 1 Rene Cabrera (“Cabrera”) resulting from Google’s alleged misconduct using the Class Period 2 click data Google produced (the “Cabrera Clicks”). ECF 424-86. Pertinent to the Location 3 Targeting claim, Solomon applies the partial refund model and concludes that Cabrera’s restitution 4 for Out-of-Area Clicks during the Class Period totals $88.73. Id. at 4. Applying the net profits 5 model leads to a total of $62.66 in restitution for Cabrera. Id. Applying the SPR Model, Solomon 6 concludes that Cabrera’s restitution totals $8.69. Id. Solomon also provides a $8.90 damages 7 calculation for Cabrera’s Smart Pricing claim. Id. at 5. 8 After Solomon issued the Cabrera Data Report, Plaintiffs filed the Fifth Amended 9 Complaint naming RM Cabrera Company, Inc. (“RMC”) f/k/a Training Options, Inc. as an 10 additional plaintiff. In his November 18, 2021 Supplemental Report (ECF 579-3), Solomon 11 expresses his understanding, based on Cabrera’s deposition testimony, that all the Cabrera Clicks 12 were purchased by RMC for RMC’s business.” ECF 579-3 ¶ 3. He then expresses his opinion 13 that the “measurement of damages and restitution” presented in his earlier reports regarding 14 Cabrera is equally applicable to RMC. Id. 15 II. STANDARDS 16 Federal Rule of Evidence 702 permits opinion testimony by an expert if the proponent 17 demonstrates that the expert is qualified and (a) the expert’s scientific, technical, or other 18 specialized knowledge will help the trier of fact to understand the evidence or to determine a fact 19 in issue; (b) the testimony is based on sufficient facts or data; (c) the testimony is the product of 20 reliable principles and methods; and (d) the expert has reliably applied the principles and methods 21 to the facts of the case. Fed. R. Evid. 702. An expert witness may be qualified by “knowledge, 22 skill, experience, training, or education.” Id. The proponent of expert testimony has the burden of 23 proving admissibility in accordance with Rule 702. Fed. R. Evid. 702 advisory committee’s note 24 to 2000 amendment. 25 Rule 702 “clearly contemplates some degree of regulation of the subjects and theories 26 about which an expert may testify.” Daubert, 509 U.S. at 589–90. Under Daubert, the Court 27 exercises a gatekeeping function to ensure an expert’s proffered testimony is relevant and reliable. 1 United States v. Valencia-Lopez, 971 F.3d 891, 897–98 (9th Cir. 2020). Rule 702 and Daubert, 2 however, are not “guarantees of correctness.” i4i Ltd. P’ship v. Microsoft Corp., 598 F.3d 831, 3 855 (Fed. Cir. 2010). “[T]he case law—particularly Ninth Circuit case law—emphasizes that a 4 trial judge should not exclude an expert opinion merely because he thinks it’s shaky, or because he 5 thinks the jury will have cause to question the expert’s credibility. So long as an opinion is 6 premised on reliable scientific principles, it should not be excluded by the trial judge.” In re 7 Roundup Prods. Liab. Litig., 390 F. Supp. 3d 1102, 1109 (N.D. Cal. 2018). 8 III.

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Woods v. Google, LLC., Counsel Stack Legal Research, https://law.counselstack.com/opinion/woods-v-google-llc-cand-2022.