Available for Plaintiff & Defense Counsel

AI Expert Witness for
High-Stakes Litigation

Independent forensic and litigation expertise in AI systems, large language models, agentic systems, and algorithmic decision-making.

Weaknesses identified. Damages quantified. Testimony that holds.

Triple Threat Expert
Practitioner · Scholar · Researcher
100+ Systems / 15+ Years
Production AI Built & Evaluated
Award-Winning
Peer-Reviewed Publications
Ivy League
Harvard · UChicago Trained
Multi-Reg
HIPAA · FDA · FTC · CMS · EEOC · SEC · NIST AI RMF
Daubert-Ready
Tested Methodology

Deep Knowledge of the Systems
Now at the Center of Litigation

Hands-on experience building, deploying, and auditing production AI systems—the same systems giving rise to today's most complex disputes.

LLM Hallucinations & Defective Outputs

Root cause analysis of large language model failures. Whether safeguards were adequate. Industry standard of care for deployment and warnings.

Defective Output Failure to Warn Negligent Deployment

Healthcare AI & Bad Faith Denials

Prior authorization algorithms, claims automation, clinical decision support—algorithmic systems denying care or coverage without adequate review.

Wrongful Denial Bad Faith Utilization Review

Agentic AI & Autonomous Liability

Multi-agent systems, autonomous decision-making, tool use—and whether human-in-the-loop controls were properly designed and implemented.

Unauthorized Actions Control Failures Vicarious Liability

Algorithmic Bias & Discrimination

Disparate impact in hiring, lending, insurance, and housing algorithms. Bias detection methodologies. Fairness constraint analysis.

Disparate Impact Title VII / ECOA Fair ML Auditing

AI Negligence & Standard of Care

Whether AI development, validation, monitoring, and deployment practices met industry standards and regulatory requirements.

Negligent Design Failure to Monitor Industry Standards

AI & Intellectual Property

Training data provenance, copyright infringement, ownership of AI-generated content, trade secret misappropriation, and licensing disputes.

Copyright Infringement Training Data Ownership Disputes

AI Fraud & Misrepresentation

Companies overstating AI capabilities, "AI washing," securities disclosure failures, and deceptive practices involving purported AI systems.

Securities Fraud AI Washing Consumer Deception

AI Privacy & Data Scraping

Training data collection practices, web scraping legality, consent violations, and processing of personal information by AI systems.

CCPA / GDPR Data Scraping Consent Violations

From Case Evaluation to Trial Testimony

01

Expert Reports & Opinions

Written opinions on technical merit, causation, standard of care, and damages quantification.

02

Deposition & Trial Testimony

Clear, authoritative testimony that makes complex AI systems understandable to judges and juries.

03

Case Merit Evaluation

Early-stage technical assessment of liability theories, evidentiary gaps, and viable arguments.

04

Technical Discovery Support

Source code review, system architecture analysis, interrogatory assistance, and document review.

05

Rebuttal & Critique

Critical analysis of opposing expert opinions. Identification of methodological flaws and unsupported conclusions.

06

Damages Analysis

Quantification of harm from AI system failures, including operational impact and remediation costs.

The Expert Opposing Counsel Can't Dismantle

Most AI experts are either academics who've never deployed production systems, or engineers who can't survive a Daubert challenge. The Criterion AI is different—a rare combination of practitioner, scholar, and researcher with 15+ years building, auditing, and publishing on the same AI systems now at the center of high-stakes litigation.

With advanced training from Harvard University and the University of Chicago, award-winning peer-reviewed publications, and hands-on experience across major health systems, federal agencies, and Fortune 500 companies, we deliver forensic technical analysis built for the courtroom—not the classroom.

We work with both plaintiff and defense counsel. Our role is to conduct independent forensic investigation—identifying what failed, why it failed, whether it met the applicable standard of care, and quantifying the resulting harm.

Forensic Methodology

Every engagement begins with rigorous technical investigation: system architecture, training data, model behavior, deployment practices, monitoring controls, and regulatory compliance. We build opinions designed to withstand Daubert scrutiny and aggressive cross-examination.

Academic Training

Harvard University University of Chicago Artificial Intelligence Computational Methods

Institutional Experience

Apple Beth Israel Deaconess Medical Center Boston Children's Hospital Dana-Farber Cancer Institute FDA Harvard Medical School Harvard University Mass General Brigham McLean Hospital Molina Healthcare Presbyterian Healthcare Spaulding Rehabilitation Hospital UMass Medical University of Chicago US Department of Defense US Department of the Interior

Regulatory Frameworks

CCPA / GDPR CMS EEOC / Title VII FDA / SaMD FTC Act § 5 HIPAA NIST AI RMF SEC State AG Enforcement

Cross-Sector AI Expertise

Healthcare & Life Sciences

Technology & Software

Insurance & Payer

Federal Government

Financial Services

Employment & HR Tech

Litigation Categories

Technical expertise for the full spectrum of AI-related disputes—from model architecture failures to regulatory enforcement.

Insurance bad faith — AI-driven claim denials, prior authorization algorithms, utilization management systems overriding physician judgment
LLM hallucinations — Fabricated outputs, RAG retrieval failures, inadequate guardrails, failure to warn of known limitations
Product liability — Defective AI/ML systems, autonomous vehicle failures, robotics malfunctions, inadequate testing and validation
Medical malpractice — Clinical decision support errors, AI-assisted misdiagnosis, algorithmic treatment recommendations, EHR integration failures
Employment discrimination — Algorithmic hiring bias, résumé screening disparate impact, promotion algorithms, EEOC enforcement actions
AI copyright & IP — Training data infringement, model weight misappropriation, generated content ownership, trade secret claims
Agentic AI liability — Autonomous agent unauthorized actions, multi-agent system failures, tool use errors, human-in-the-loop control breakdowns
AI fraud & misrepresentation — "AI washing," overstated capabilities, securities disclosure failures, deceptive marketing of AI products
Consumer protection — FTC Act §5 enforcement, state AG investigations, unfair and deceptive AI practices, dark patterns
Securities litigation — AI capability disclosure failures, algorithmic trading malfunctions, material misstatements about AI investments
Privacy & data scraping — Unlawful training data collection, web scraping violations, CCPA/GDPR non-compliance, biometric data claims
Class actions — Automated decision-making affecting consumers at scale, algorithmic pricing, discriminatory credit and lending models
Breach of contract — AI vendor performance failures, SLA disputes, model accuracy guarantees, integration and deployment failures
Regulatory defense — FDA AI/ML device actions, FTC enforcement, EEOC algorithmic discrimination, state AG investigations
Other AI matters — Novel theories, emerging technologies, cases that don't fit neatly into categories. Let's discuss your matter.

How We Work With Counsel

Discuss Your Matter

Available for case consultation, preliminary evaluation, expert reports, and testimony. Complimentary 15-minute initial call.

Cambridge, MA · Available Nationwide · Plaintiff & Defense