6-figure
Typical cost of a retained industrial-organization damages economist in an antitrust matter.
$50
Cost of a Supreme Mind simulation. Same brief, orders of magnitude less.
FRED
Grounded in a real cost pass-through: conspiracy-period prices compared to cost-predicted levels on public FRED series.
The problem

Antitrust turns on the economists. The fight is the damages model: overcharge, cost pass-through, and class-wide impact

The case often lives or dies on the regression. Supreme Mind shows the methodology attack early: the specification the opposing economist will run, where it breaks under Daubert, and how common impact holds up under Comcast. In minutes, for $50 per simulation, before the model is served. For plaintiff class counsel, that is the defense economist’s attack on common impact before certification; for defense teams, the plaintiffs’ overcharge model before it is served.

How it works

One brief per matter, grounded in the record

One brief in four sections, every quote verified against the public record.

01

Create a matter

Set up the case and upload the file.

02

Add experts

Add the opposing expert, or your own.

03

Ground it

Ground it in a cost pass-through on public FRED input-cost series, plus your documents.

04

Generate the brief

Opinion, cross weaknesses, Daubert challenges and settlement range, in minutes.

Verbatim citation verification

Every quote checked against the public record. Unverifiable quotes are dropped.

Cross-examination practice simulation

Rehearse the cross against the expert before the deposition.

Examine the record

Ask the case file a question and get an answer cited to the page, or told the record is silent.

Expert-report stress test

Find the weak points in an opposing report, or red-team your own expert's draft.

Exports built for the file

Word, PDF, a Daubert-motion outline and a cross outline, with history kept.

Named-expert overlay

Optionally add a named expert's public judicial record. Off by default.

Who gets an expert

Expert analysis for matters that could never pay for it

Which matters get a read

An economist's first read runs to tens of thousands of dollars at the rates these dockets show, so it is bought only for the matters that can carry it.

When, and how often, you get a read

Without, an expert weighs in a few times over a matter that can run for years. With, you can ask any day, at any hour, and have an answer in minutes.

Without: about 1 in 8 federal cases ever deposes an expert
With Supreme Mind
Without
IntakeDismissDiscoveryClass certDaubertResolution
An expert readA read you went without
With Supreme Mind
IntakeDismissDiscoveryClass certDaubertResolution
A read on demand, daily if you want it
Where it fits

From complaint to settlement

Stage
Without
With Supreme Mind
What improves
Case intake
Decided on the pleadings
A read before you commit
Case value rangeLower intake risk
Motion to dismiss
Defense theory inferred
Defense theory written out
Foresight
Expert retention
Sourced through networks
Retain against a brief
Sharper assignment
Discovery
One billed read
Rerun as the data lands
Live case theoryRerun whenever you need
Class certification
Their impact model seen for the first time
Their attack prepared for
Stress-tested expertWeeks saved
Depositions
Cross built from reports
Cross rehearsed first
Practised cross
Daubert
Exposure found in their motion
Weak points found first
Fewer surprises
Resolution
Leverage arrives late
Leverage from intake
A range you can defend
Your retained expert still forms the opinion, signs the report and takes the stand.
Preparation compoundsRun it daily. Preparation predicts performance.
Without, it comes in stepsIt starts once an expert is retained, and grows as each paid engagement allows.
What it could be worth

How preparation changes the outcome

Close contested class certification fight · $300M single-damages overcharge. Both sides start at 50/50; “with” means that side prepares with Supreme Mind.

Plaintiff chance of winning
Defense without
Defense with
Plaintiff without
50%Baseline
45.2%−4.8 pts · range 40–48%
Plaintiff with
57.2%+7.2 pts · range 53–64%
52.4%+2.4 pts · range 48–56%
Expected recovery
Defense without
Defense with
Plaintiff without
$32.5MBaseline
$29.2M−10.1%
Plaintiff with
$37.3M+14.7%
$33.8M+4.1%

An estimate based on public research. Find out more about how we modeled this →

See it on your own matter.Start freeRead a sample brief →
What changes

The same thirty days, spent on argument instead of waiting

Rule 26(a)(2)(D) gives you 30 days to rebut a served report. The deadline does not move. What changes is how much of it is left once you know what you are answering.

Day 0Day 15Day 30
Without
Retaining an expert for the first read · 18 days · $25,000 to $45,000
Drafting
Moot
  • Retaining an expert for the first read · 18 days · $25,000 to $45,000
  • Drafting · 7 days
  • Moot · 5 days

You reach the moot with a first draft.


With Supreme Mind
Building and testing the cross against the economist · 20 days
Rehearsed moot, then file
  • The same read, simulated · Minutes, on day zero
  • Building and testing the cross against the economist · 20 days
  • Rehearsed moot, then file · 10 days

The first read arrives on day zero, in minutes. You still read the report; you no longer wait weeks to learn where it is weak.

The antitrust library

The economists who decide antitrust cases (de-identified)

Antitrust runs through a handful of economist types. Each is a composite of public-record testimony, never a named individual.

Defense side
Defense Cartel Econometrician
Attacks class-wide common impact: benchmarks, but-for pricing, aggregate damages.
Plaintiff side
Plaintiff Common-Impact Economist
Common impact and predominance under Comcast v. Behrend.
Plaintiff side
Overcharge & Pass-Through Economist
The overcharge and its pass-through down the chain.
Defense side
Monopolization & Market-Definition Economist
Relevant markets, SSNIP tests and monopoly power under Section 2.
Both sides
Merger & Competitive-Effects Economist
Unilateral and coordinated effects, merger simulation, UPP and GUPPI.
Both sides
Industrial Organization Econometrician
Demand estimation and market structure with BLP-style models.
Grounded in the record

Sources and scope

Each expert is a synthesis of how a class of antitrust economist testifies, grounded in a real cost pass-through on public FRED data and your own documents.

  • Cost pass-through on public FRED input-cost series
  • Prior expert reports from public dockets: PACER, RECAP, Bloomberg Law, Westlaw
  • Deposition and trial testimony from court filings and transcript databases
  • Daubert briefing and rulings, including Comcast v. Behrend
  • Practitioner and peer-reviewed publications by antitrust economists

Never represented as a real person.

The brief

Read the brief itself

From the Lithium Ion Batteries run. Every citation opens the full opinion on CourtListener, which is where the run checked it before writing it down.

In re Lithium Ion Batteries Antitrust LitigationN.D. Cal., MDL 2420
Conspiracy 2000-01-01 to 2011-05-31 · 8 defendants · Direct purchaser class · vs. Defense Cartel Econometrician

Likely Opinion

Predicted opinion in the expert's voice

The plaintiffs' regression-based overcharge model is unreliable because it pools heterogeneous cylindrical-cell transactions without validating that assumption, producing an average overcharge figure that obscures a substantial share of class members who sustained zero or negative overcharges under corrected specifications. My critique does not require me to propose an alternative overcharge estimate; it demonstrates that the plaintiffs' model cannot establish common impact on a classwide basis.

Methodological basis

My analysis applies standard econometric critique methodology: I examine the specification choices embedded in the plaintiffs' pooled regression, test the sensitivity of the overcharge estimate to those choices, and identify the share of class transactions that yield zero or negative damages under corrected assumptions. I do not offer an affirmative damages model of my own; my assignment is to evaluate whether the plaintiffs' model is capable of measuring a common overcharge across the class, and I conclude it is not.

Pooling across heterogeneous products inflates the average

The plaintiffs' pooled regression aggregates transactions across cylindrical cells that differ materially in chemistry, capacity, and form factor, and across a class period spanning more than a decade during which nominal cell prices fell sharply in a rapidly scaling industry. Pooling these transactions without validating the homogeneity assumption inflates the average overcharge and masks individual variation.

A substantial share of the class shows no injury under corrected assumptions

My event study finds that when I correct the plaintiffs' model for cost-elasticity assumptions applied outside the conspired input, a substantial share of class transactions yield zero or negative overcharges, indicating that a nontrivial portion of the proposed class was not injured by the alleged conspiracy under any economically defensible specification.

An average overcharge is not a showing of individual injury

The plaintiffs' model produces an average overcharge figure that does not translate into actual damages for individual class members; an aggregate or average estimate cannot substitute for a showing that each class member paid a supracompetitive price.

Sources

The model does not separate the cartel from the secular price decline

The plaintiffs' model does not adequately distinguish the effect of the alleged price-fixing from the secular price decline driven by rapid capacity expansion and technology improvement in the cylindrical-cell industry over the class period, a confounding factor that the regression must control for but does not isolate cleanly.

Sources

Legacy contract pricing generates false positives

My analysis identifies a false-positive problem: certain transactions priced under pre-conspiracy contractual formulas appear in the class data and generate apparent overcharges that are sections of the pricing formula rather than evidence of conspiracy impact, inflating the share of class members the model classifies as injured.

Sources

Reasoning arc

I begin from the observation that the plaintiffs' model is a pooled regression that assumes a common overcharge across all cylindrical-cell transactions in the class. That assumption does the heavy lifting in the common-impact analysis, and it is untested. Cylindrical cells are heterogeneous products sold under varied contractual arrangements over a period when industry prices were falling for reasons unrelated to any conspiracy. When I correct the model's cost-elasticity assumptions and account for transactions priced under pre-conspiracy formulas, the overcharge estimate is not robust: a meaningful share of transactions show zero or negative overcharges. That finding does not require me to name the correct overcharge; it is sufficient to show that the plaintiffs' model cannot reliably establish that all or nearly all class members were injured by a common method. The guilty pleas by two defendants establish that a conspiracy existed, but they do not establish the magnitude of the overcharge or that every direct purchaser paid a supracompetitive price on every transaction. The overcharge magnitude and common-impact questions remain genuinely contested, and the plaintiffs' model as specified cannot resolve them.

Caveats and limits, stated by the witness

The expert states its own vulnerabilities before opposing counsel does, which is what makes the cross-examination section that follows worth reading:

  • My critique does not offer an alternative overcharge estimate or a but-for price series. I have not quantified what the overcharge would be under a correctly specified model, and I do not contend that the overcharge was zero.
  • My finding that a substantial share of class members show zero or negative overcharges depends on my own corrections to the plaintiffs' model assumptions. If the court or a trier of fact accepts the plaintiffs' original specification, the uninjured-member count will differ.
  • I have not run a formal Chow test or equivalent structural-break test to establish that pooling is statistically inappropriate; my pooling objection rests on economic reasoning and sensitivity analysis rather than a formal hypothesis test.
  • Whether my critiques go to the admissibility of the plaintiffs' model or only to its weight at the certification hearing is a legal question for the court; I express no opinion on that question.
  • The opinions I rely on for methodological benchmarks were decided before the December 1, 2023 amendment to Federal Rule of Evidence 702, which clarified that the proponent must establish admissibility by a preponderance of the evidence; their precedential weight on admissibility questions is therefore somewhat reduced.

The recorded output of a real run on the public record, in full. Citations open the passage the run relied on, checked against the opinion text on CourtListener.

See the full antitrust run →
In the product

The four sections of a brief

Real screens from the In re Lithium Ion Batteries run (MDL 2420, N.D. Cal.), generated from the direct-purchaser complaint. Export to Word, a Daubert-motion skeleton, or a deposition outline from the same page.

Likely opinion section of the brief in the Supreme Mind product, on the In re Lithium Ion Batteries matter
01Likely opinion

The critique the defense cartel econometrician will offer, in their own voice, with the caveats they would state themselves: no alternative overcharge estimate, no formal pooling test.

Cross-Examination section of the brief in the Supreme Mind product, on the In re Lithium Ion Batteries matter
02Cross-Examination

Ranked weaknesses. Each carries the question to ask, the deflection to expect, and the pin question behind it, with the lineage of the finding shown.

Methodology challenges section of the brief in the Supreme Mind product, on the In re Lithium Ion Batteries matter
03Methodology challenges

Five Rule 702 fault lines, each tagged fit or reliability, each with the precedent that engaged it and the rebuttal to anticipate.

Settlement range section of the brief in the Supreme Mind product, on the In re Lithium Ion Batteries matter
04Settlement range

Low, point and high anchors against a damages base, with every driver priced and directional, and the uncertainty stated in the brief rather than buried.

Screens are from a worked public-record example case, which is why the product marks it as an example with a known outcome and offers to score itself against what actually happened.

The live cross · worked example

Put him on the stand before the deposition

In re Lithium Ion Batteries Antitrust LitigationGrounded
Conspiracy 2000-01-01 to 2011-05-31 · 8 defendants · vs. Defense Cartel Econometrician
You (counsel)

Doctor, did you run any regression of your own on the cylindrical-cell transaction data?

Witness

No. My assignment was to evaluate the plaintiffs' model, not to construct an alternative one.

1 of 5 questions asked.

A class of expert, never a named individual. Nothing here is filed or offered as testimony.

Security and trust

Security and confidentiality

Matter content is treated as privileged end to end.

Passwordless sign-in

A one-time link to a named work email. No password to phish.

Firm accounts & admin

A firm-admin role and self-service team management.

Server-side model

The browser never holds an API key.

US processing with zero data retention

Anthropic, under zero data retention, with US inference. Nothing is stored or used for training.

Per-firm US-region isolation

Each firm's data and documents kept separate, in the US.

Metadata-only audit; 30-day deletion

Privileged content is never logged. Deleted matters go after 30 days.

Pilots add a signed DPA recording the no-retention, no-training terms, with single sign-on by agreement with your firm.

Book a demo

Start a three-month pilot on your own matters

A small number of first pilots with senior trial partners at antitrust practices, on your own live matters, with a direct line to the founder.

What a pilot looks like
Scope
Your named mattersUsually four to eight live matters, your choice. Anyone at the firm can use it.
Timeline
Three monthsOne expert-disclosure cycle, success criteria agreed up front. No auto-renewal.
Price
$2,500 to $5,000Fifty to a hundred credits at $50 each, usable firm-wide, never expiring. Full pricing.
Data
Whatever the matter allowsPublic record by default, plus protective-order and AEO material where the order permits a vendor. Nothing retained or trained on. Security & trust.
Access
Direct founder lineAn hour of onboarding per user, two founder hours a week, and priority on your requests.