Mendell v. American Medical Response, Inc.

District Court, S.D. California·Decided February 2, 2021·No. 3:19-cv-01227·Unknown

Opinion

MICHAEL MENDELL, Case No. 19-cv-01227-BAS-KSC

Plaintiff, ORDER: v. (1) DENYING DEFENDANT’S MOTION TO STRIKE EVIDENCE INC., (ECF No. 70); AND Defendant. (2) PERMITTING SUR-REPLY TO PLAINTIFF’S MOTION TO CERTIFY CLASS

Plaintiff Michael Mendell brought this putative class action for damages and injunctive relief against Defendant American Medical Response, Inc. (AMR), alleging that AMR made unauthorized recordings of conversations with Plaintiff and putative class members without providing notification or warning required under the California Invasion of Privacy Act (CIPA), Cal. Penal Code §§ 630 et seq. AMR moves to strike the declarations of Mendell’s counsel and expert witness, which Mendell filed in support of his reply to the motion to certify class. (ECF No. 70.) For the following reasons, the Court DENIES AMR’s motion but permits AMR to file a sur-reply limited to the issue of class identification. A. Mendell’s Motion to Certify Class and Hansen Declaration I On June 5, 2020, Mendell moved to certify class. (Mot. to Cert. Class, ECF No. 49.) Mendell proposed the following class definitions: The HIPAA Confidential Communication Class All persons in California, that never called Defendant, whose first call from Defendant was recorded without their consent by Defendant and/or its agent/s from July 1, 2018 through July 31, 2019 (the date when AMR modified its practice to notify callers of recording at the outset of the call.)

The Cellular Phone Communication Sub-Class All persons in California, that never called Defendant, whose first call from Defendant to their cellular phone was recorded without their consent by Defendant and/or its agent/s from July 1, 2018 through July 31, 2019 (the date when AMR modified its practice to notify callers of recording at the outset of the call.) (Mot. to Cert. Class at 2:14–25.) Mendell attached to his motion a declaration of his expert witness, Jeffrey A. Hansen, dated June 4, 2020. (Hansen Decl., “Hansen Decl. I,” ECF No. 49-18.) Hansen was retained to analyze AMR’s phone call records to (1) identify and manage the class and (2) advise Plaintiff’s counsel on the capabilities of the software system used by AMR’s third-party vendor, LiveVox, Inc., who managed the phone call records for AMR. (Hansen Decl. I ¶ 7.) Specifically, Hansen was retained to advise “what types of information and reports regarding the makeup and identity of the class can be gleaned from the data maintained by the LiveVox system.” (Id.) Hansen stated that he was “extremely familiar with the LiveVox system” and thus was qualified to advise Mendell about the system.1

1 Hansen stated in full: I am extremely familiar with the LiveVox system and can provide advice and consultation regarding how the call detail records may be utilized to (1) identify the date of the call; (2) identify the length of the call; (3) identify the phone number called; (4) identify whether the phone number called is a cellular phone or landline phone; (5) identify if the area code for the person called is a California area code; (6) identify whether the call was inbound or Hansen proposed a methodology to identify the class. (Hansen Decl. I ¶¶ 14–32.) At that time, LiveVox had not produced the call records in response to Mendell’s subpoena. (Id. ¶ 17.) Hansen relied on his knowledge of the LiveVox system to state that the system can generate a report with different fields that would allow him to identify “which of the Call Records were first time outbound calls, to patients that never called AMR, and identify the subset of such first-time outbound calls to wireless numbers.” (Id. ¶ 18.) In addition, Hansen stated that he could supplement the class identification process by transcribing the audio recordings of the phone calls at issue, using a tool called IBM Watson.2 B. AMR’s Deposition of Hansen On July 3, 2020, AMR deposed Hansen. (Ex. 20 to Def.’s Resp. in Opp., ECF No. 60-1at 43–126.3) AMR questioned Hansen about his experience in using IBM Watson.

with a person; (8) identify whether a person to person conversation was a first time or subsequent conversation. (Hansen Decl. I, ¶ 8.) 2 Hansen stated in full: At the same time, I will take all the mp3 audio files produced and have them electronically transcribed through the use of an artificial intelligence engine, specifically employing IBM Watson. This will create a full transcription of all the call recordings. The transcriptions will be loaded into a database and analyzed by automated searching for specific text such as “patient business services” or “customer care” or “recorded” etc. I can search all the recordings for any term requested in a matter of seconds. I can group recordings by the name of the person called or the script that was used etc. Using the LiveVox report containing the original mp3 file name, the date, time, number called etc, I will link each outbound call transcript to the corresponding calls/entries on the report. Automated queries can easily identify a list of calls which were the first call placed to a California area code and that list of calls can be analyzed systematically. Each identified call can be categorized by which script was used, if the recording warning was given and when. Calls that went to an answering machine or disconnected number for example can systematically be excluded. Once this is complete, a full and accurate list of all class members will be identified. A further analysis can be conducted, as described below, to separate calls to landlines versus to cell phones. (Hansen Decl. I ¶ 19.) 33 Defendant’s exhibits filed in support of its response in opposition are marked by multiple paginations. (ECF No. 60-1.) All citations follow the page numbers that immediately follow the marker, (Id. at 67–71, 110–16.) AMR then asked Hansen about class identification, to which Hansen testified, in relevant part: [T]he analysis is extremely simple. Okay. And that is that it has a date and a time. So I could create a query that says basically to identify all of those people that received an outbound call where the word record never showed up within the transcript and they never called, in [sic] they got on and made a recording on an inbound call.

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Mendell v. American Medical Response, Inc., (S.D. Cal. 2021).

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