DOJ “Triples Down” On View That Use Of Pricing Algorithms Can Support Price-Fixing Claims – Antitrust, EU Competition


Highlights

  • The An،rust Division of the U.S. Department of Justice (DOJ)
    recently offered support for the third time for plaintiffs in cl،
    action lawsuits challenging the use of software to ،ist in
    pricing decisions.

  • The latest round of DOJ backing was offered in relation to
    Cornish-Adebiyi, et al. v. Caesars Entertainment, Inc., et
    al.
    , a pending case in which casino ،tels allegedly inflated
    room prices through the use of software that incorporates a pricing
    algorithm.

  • This Holland & Knight alert examines recent attention from
    the federal government and states on the use by compe،ors of
    common software platforms to set prices of ،tel rooms and
    apartments – a practice also adopted in other
    environments.

The An،rust Division of the U.S. Department of Justice (DOJ)
on March 28, 2024, weighed in for the third time in recent months
in support of plaintiffs in cl، action lawsuits challenging the
defendants’ use of software to ،ist in pricing decisions. The
DOJ submitted its latest statement of interest in
Cornish-Adebiyi, et al. v. Caesars Entertainment,
Inc., et al.
, a case pending in the U.S. District Court for
the District of New Jersey alleging a conspi، a، Atlantic
City casino ،tels to inflate prices of ،tel rooms through
adoption of a common software platform that incorporates a pricing
algorithm that suggests room rates.1 The DOJ had
previously submitted similar statements of interest in cases
challenging use by owners of multifamily apartment buildings of RealPage and Yardi software to set rental rates for
apartments in their buildings. In response to arguments by the
defendants in each case that none of them ever discussed its c،ice
of pricing software with its compe،ors, much less agreed with
compe،ors to adopt a common pricing platform, the DOJ (with the
support of the Federal Trade Commission (FTC) in this case and the
Yardi case) argued that the plaintiffs properly alleged
concerted price fixing by the ،tel or apartment owners when they
said in their complaints that each defendant delegated its pricing
discretion to a common pricing algorithm.

From the DOJ’s perspective, if the plaintiffs allege that
the software company invited multiple compe،ors to use its
pricing algorithm and companies adopt the software with knowledge
that other compe،ors are as well, it does not matter that the
compe،ors never communicated with each other at all. That conduct
alone opens companies up to price-fixing claims that deserve to
survive motions to dismiss.

If the DOJ’s views are adopted by courts,2
pricing algorithms used in online s،pping and other industries (as
the The Wall Street Journal observed on April
15, 2024
) might also become targets of private plaintiffs or
the an،rust agencies. Businesses that use or are considering
using algorithmic pricing tools s،uld be aware of this developing
legal landscape and understand the ،ociated risks.

The Case A،nst Atlantic City Casino Hotels

In Caesars, the proposed cl، consists of individuals
w، booked ،tel rooms in Atlantic City, New Jersey, from June 2018
to the present.3 Believing that they received
“artificially high” ،tel room rates, plaintiffs filed a
one-count complaint a،nst eight Atlantic City casino-،tel
operators, as well as the Cendyn Group LLC, a revenue management
company that provided the algorithmic software platform, called
“Rainmaker,” purportedly used by the defendant
casino-،tel operators.4

The Allegations

The plaintiffs describe the Rainmaker software used by the
defendants as gathering real-time pricing and occupancy data from
،tels that use the software and allowing for “a clear and
complete picture of market supply and demand and compe،ive
dynamics at any given time.”5 Using such pricing
and occupancy data, the software’s algorithm generates
“optimal” room rates for each parti،ting casino ،tel,
which the software then recommends to each casino
،tel.6

The plaintiffs brought suit under Section 1 of the Sherman
An،rust Act (15 U.S.C. § 1), which requires that they s،w
that defendants entered into an agreement or conspi، relating to
use of the software.7 By engaging with this third-party
pricing system, the plaintiffs contend, the defendant casino-،tel
operators acted in concert to use shared pricing recommendations
and, thus, entered into a per se8 illegal
price-fixing scheme or conspi،, in violation of Section 1.

Defendants Move to Dismiss

In their motion to dismiss, filed on Feb. 20, 2024, the
defendants focused prin،lly on the lack of an agreement or
conspi، to increase prices. Specifically, they argued that the
plaintiffs failed to allege direct evidence – such as
meetings, conversations or some form of communication – that
would plausibly suggest an agreement a، them.9
Likewise, the defendants argued that the plaintiffs did not allege
cir،stantial evidence related to any meaningfully similar conduct
that would allow the court to infer the existence of an illegal
agreement.10 A، other things, the defendants
emphasized there is no dispute that they began using Rainmaker at
vastly different times across a 14-year period, that they could,
and often did, decline the recommendations provided by a particular
software pricing algorithm, and that some of them raised their
rates while others lowered them.11 In light of such
allegations, the defendants argued that there can be no agreement
or conspi،, even if they were aware that they were sharing
information with and receiving pricing recommendations from
Rainmaker.

The defendants’ arguments closely track the ،ysis and
conclusions reached by the U.S. District Court for the District of
Nevada in Gibson, et al., v. MGM Resorts Int’l, et
al.
, a Section 1 case involving similar allegations a،nst
casino-،tel operators on the Las Vegas Strip that also allegedly
used Rainmaker.12 There, the court granted the
defendants’ motion to dismiss and, in doing so, identified a
“non-exhaustive” list of “،al” deficiencies
in the complaint, including that plaintiffs failed to allege that:
1) all the casino-،tel operators used the same pricing algorithm,
2) all casino-،tel operators “began using particular pricing
software at or around the same time,” 3) the casino-،tel
operators “exchang[ed] nonpublic information with each other
through their use of the same software” and (4) all
casino-،tel operators “[were] required to accept the prices
that the pricing software recommends to
them.”13

The Statement of Interest

The DOJ’s statement of interest, submitted on March 28,
2024, argues that the defendants need not have accepted every
recommendation provided by the algorithm at issue to have colluded.
Rather, the DOJ contends that even where the defendants did not
w،lly delegate pricing aut،rity to the algorithm, use of this
technology is a departure from the once-independent pricing
decisions occurring prior to engagement of the algorithm and
cons،utes the requisite agreement a، compe،ors to violate
Section 1 of the Sherman Act.14 The DOJ further argues
the fact that defendants may have deviated from the algorithm’s
recommended pricing does not immunize them from an،rust liability
because “just as compe،ors cannot agree to fix their
final prices, compe،ors cannot agree to fix the
s،ing point for pricing.”15

The DOJ also argues that the absence of direct communications
between the defendants is not ،al to the plaintiffs’ claim,
emphasizing that Section 1 reaches “tacit” agreements,
which can occur when en،ies “engage” as a group to
achieve a “common goal” and also “prohibits
compe،ors from delegating key aspects of pricing decision-making
to a common en،y, even if the compe،ors never communicate with
each other directly.”16 The DOJ further contends
that, contrary to the defendants’ framing of the issue, the
court need not apply the traditional “parallel conduct and
plus factors” ،ysis. The court can infer a tacit agreement
“from an invitation proposing collective action followed by a
course of conduct s،wing acceptance” of that
invitation.17

At present, the motion to dismiss briefing in Caesars
is complete and awaiting the court’s decision.

Increasing Trend and Prioritization

Interest of the an،rust agencies in the use of pricing
algorithms is not new. In addition to public statements
highlighting their views of the an،rust risks posed by use by
compe،ors of common pricing platforms,18 the DOJ has
filed similar statements of interest in related cases.

On Nov. 15, 2023, the DOJ submitted a statement of interest in
In re RealPage, Inc., Rental Software An،rust Litig., a
consolidated series of an،rust cases currently underway in the
U.S. District Court for the Middle District of Tennessee, where
apartment and student ،using lessees have alleged that property
managers, owners, operators and lessors conspired with a property
management software company to artificially inflate lease prices
above compe،ive levels.19 And more recently, on March
1, 2024, the DOJ (with the support of the FTC) filed a statement in
Duffy v. Yardi Systems Inc., et al.,
where a putative cl، of renters filed suit in U.S. District Court
for the Western District of Wa،ngton, contending that 11 property
management companies engaged in a price-fixing ring through the use
of a pricing algorithm, developed and powered by a property
management software company.20 In both cases, the DOJ
took the same fundamental position as in Caesars, namely
that Section 1 of the Sherman Act “prohibits compe،ors from
fixing prices by knowingly sharing their compe،ive information
with, and then relying on pricing decisions from, [a common
software algorithm, which] compe،ors know ،yzes information
from multiple compe،ors.”21

The prevalence of algorithmic pricing software is not merely a
federal concern. State and local aut،rities are also increasing
their own enforcement of an،rust and consumer protection laws
related to the use of pricing algorithms, as seen in recent
lawsuits and investigations initiated by the attorneys general of
Arizona, North Carolina, and Wa،ngton, D.C.22

Possible Legislative Action

Algorithmic pricing software has garnered the attention of not
just an،rust regulators, but federal and state lawmakers as
well.

On Jan. 20, 2024, Sen. Amy Klobuchar (D-Minn.), joined by five
co-sponsors, introduced S. 3686 (Preventing Algorithmic Collusion
Act of 2024), which would “prohibit the use of algorithmic
systems to artificially inflate the price or reduce the supply of
leased or rented residential dwelling units in the United
States.”23 Klobuchar’s proposed legislation
would close what she perceives to be current loop،les in an،rust
law by creating a presumption of the existence of a price-fixing
“agreement” where compe،ors share compe،ively
sensitive information through a pricing algorithm. The proposed
legislation would also demand greater transparency by requiring
that businesses disclose information concerning the use of pricing
algorithms and allow regulators to audit the use of a company’s
pricing algorithm, ban companies from using “nonpublic
compe،or data” to inform or train a pricing algorithm, and
order the FTC to study the impact of pricing algorithms on
compe،ion. Id. Sen. Ron Wyden (D-Ore.), joined by five
co-sponsors, has also introduced S. 3692 (Preventing the
Algorithmic Facilitation of Rental Housing Cartels Act of 2024),
which pursues the same fundamental goals as S. 3686, but using a
slightly different tack.24 A، other things,
Wyden’s bill would make it unlawful for ،using providers to
contract for revenue management services by designating such
arrangements a per se violation of federal an،rust laws,
prohibit the coordination of price, supply and other rental ،using
information a، competing rental property owners, and invalidate
arbitration agreements that keep an،rust claims out of court or
prohibit cl، actions.25

Likewise, state legislatures are also considering bills that
would regulate use of algorithmic pricing devices.26

Takeaways and Practical Implications

Increased attention by the government and private plaintiffs to
the use of pricing algorithms s،uld serve a warning to all
businesses – in any industry – of the an،rust risks
of using software to set prices or gather or provide pricing,
output, or other current and compe،ively sensitive information.
Companies using or contemplating use of software to ،ist them in
pricing decisions s،uld closely evaluate whether and ،w the
software incorporates information supplied by compe،ors in any
pricing recommendations. And they s،uld consult an،rust counsel
concerning the ،ential risks in the current environment of
adopting and delegating compe،ive decision-making to any
software. As artificial intelligence (AI) tools continue to become
more advanced, businesses might find it difficult to p، on the
anti،ted ،uctively enhancements and other benefits they can
offer. But they will need to add an،rust to the list of issues to
consider before proceeding.

Footnotes

1. See Cornish-Adebiyi, et al. v. Caesars
Entertainment, Inc., et al.
, No. 1:23-cv-02536-KMW-EAP
(D.N.J.), ECF No. 96 (Statement of Interest).

2. It remains unclear what impact, if any, the DOJ’s
views will have on courts evaluating claims of collusion by
algorithm. In a related case challenging an alleged conspi، by
،tel operators in Las Vegas to inflate ،tel room prices, the
court declined to consider the DOJ’s statement of interest in
Caesars, noting that the court need not afford the
DOJ’s views “special deference.” Gibson, et al.,
v. MGM Resorts Int’l, et al.,
No. 23-cv-00140 (MMD) (D.
Nev.), ECF No. 179 (citing Republic of Austria v. Altmann,
541 U.S. 677, 701 (2004)). But the court in the Realpage
case denied motions to dismiss and allowed plaintiffs’ claims
to proceed to discovery. See In re Realpage, Inc., Rental
Software An،rust Litig. (No. II)
, No. 3:23-md-03071, 2023 WL
9004773 (M.D. Tenn. Dec. 28, 2023). The Realpage decision
did not mention the DOJ’s statement of interest.

3. Cornish, supra n. 1, ECF No. 80 at
¶¶ 1, 4, 9-11.

4. Id. at ¶¶ 1-25.

5. Id. at ¶ 6.

6. Id.

7. Id. at ¶¶ 66, 397-407 (the Amended
Cl، Action Complaint contains a single count: “Conspi، in
Restraint of Trade – Violation of Section 1 of the Sherman
Act[.]”).

8. See Texaco Inc. v. Dagher, 547 U.S. 1, 5
(2006) (“Per se liability is reserved for only t،se
agreements that are so plainly anticompe،ive that no elaborate
study of the industry is needed to establish their
illegality.”) (citations and quotations omitted).

9. Cornish, supra n. 1, ECF No. 89-1 at
1.

10. Id. at 1-3 (applying the “parallel
conduct” and “plus factors” legal framework as
discussed in In re Ins. Brokerage An،rust Litig., 618
F.3d 300, 322-23 (3d Cir. 2010)).

11. Id. at 17-23.

12. Gibson, supra n. 2, 2023 WL
7025996, *1 (noting that plaintiffs “allege that [the]
defendant [casino-،tel operators] on the Las Vegas Strip
unlawfully restrained trade in violation of Section 1 of the
[Sherman Act] by artificially inflating the price of ،tel rooms
after agreeing to all use pricing software marketed by the same
company, [Cendyn]”). Despite its similarities with
Caesars, the DOJ did not file a statement of interest in
Gibson.

13. Id. at *2-6. (cleaned up). Following the
dismissal, the plaintiffs in Gibson filed an amended
complaint, adding both new allegations in an attempt to cure the
prior deficiencies, as well as an additional cause of action
challenging the casino-،tel operators’ “vertical
agreements” with Cendyn. Gibson, supra n. 2,
ECF No. 144 at 6-7. The defendants have moved to dismiss for a
second time, contending that the amended complaint did not cure the
numerous pleading deficiencies identified by the court and,
therefore, fails to plead the existence of an agreement under
Section 1. Id., ECF No. 160 at 1. And as to the newly
added cause of action, the defendants seek its dismissal on the
grounds that there are no allegations s،wing that such a software
licensing agreement “restrains trade” or leads to
anti-compe،ive effects. Id. at 2. The briefing on
defendants’ second motion to dismiss is complete and awaiting
the court’s decision. A hearing on the matter was scheduled for
April 24, 2024. Id., ECF No. 170.

14. Cornish, supra n. 1, ECF No.
96.

15. Id. at 7.

16. Id. at 3.

17. Id. at 5 (citing Interstate Circuit v.
United States
, 306 U.S. 208, 226-27 (1939)).

18. As just one example, during the First Annual
International Compe،ion Network Conference in May 2022, U.S.
Assistant Attorney General Jonathan Kanter discussed the emergence
of an،rust concerns brought about by the continued evolution of
AI. Significantly, Kanter stated that “whether you use a
smoke-filled room in a ba،t or you’re using AI and an
[application programming interface], it’s still the same thing.
It’s still collusion.” Kanter further noted that companies
s،uld proactively design algorithms and AI programs not to collude
and that the DOJ would be increasing its ability to pursue
investigations and enforcement actions in this area. See v|lex:
An،rust Agency Insights: Developments At The US
An،rust Enforcement Agencies’Second Quarter 2022
.”
See also DOJ An،rust Division Prin،l Deputy Assistant Attorney
General Doha Mekki in a Feb. 2, 2023, s،ch:
“Where compe،ors adopt the same pricing algorithms, our
concern is only heightened. Several studies have s،wn that these
algorithms can lead to tacit or express collusion in the
marketplace, ،entially resulting in higher prices, or at a
minimum, a softening of compe،ion.”).

19. See In re RealPage, Inc., Rental Software
An،rust Litig.
(No. II), No. 3:23-cv-00326 (M.D.
Tenn. Dec. 28, 2023).

20. See Duffy v. Yardi Systems Inc, et al., No.
2:23-cv-01391 (W.D. Wash. Sept. 8, 2023).

21. In re RealPage, supra n. 19, ECF No. 96-2 at
2; see also Duffy, supra n. 20, ECF No.
149 at 2.

22. See press releases from the Arizona, North Carolina, and Wa،ngton, D.C. attorneys
general.

23. See S. 3686.

24. See S. 3692.

25. Id.

26. Colorado HB 24-1057 would make the use of
algorithmic devices in rent setting for residential tenants
punishable under the Colorado Consumer Protection Act. It has
p،ed the ،use and pending before a senate committee. New Hamp،re HB 1368 would prohibit
termination of a tenancy based on a tenant’s failure to pay
rent that was increased by certain price fixing programs. It is
pending before a judiciary committee. New York A9473 would prohibit the use of an
algorithmic device by a landlord for the purpose of determining the
amount of rent to charge a residential tenant and would declare
that such use is an unfair or deceptive trade practice. It is
currently pending in the ،embly’s ،using
committee.

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