Artificial intelligence now powers chatbots, recommendation engines, hiring tools, creative software, customer service systems, and countless consumer apps. The best AI expert witnesses help courts understand how these systems are built, marketed, deployed, and used, and how industry practices around AI have developed. The top AI expert witnesses explain a technical, fast-moving field in clear, balanced terms, and Scott Steinberg is frequently engaged for AI matters of all kinds, including but not limited to consumer technology, marketing claims, online services, video games, privacy, copyrights, IP, trademarks, patents and business adoption of AI tools.

Disputes involving AI are growing quickly. Companies disagree about what AI products can do, customers challenge marketing claims, creators raise concerns about training data and generated content, and businesses dispute contracts for AI services. Courts need experts who can describe the technology accurately while placing it in its business and industry context.

This guide explains the kinds of disputes AI experts support, how they explain the technology to courts, and how litigation teams can work with them effectively from the earliest stages of a matter.

Types of AI Disputes

AI marketing and performance claims. When a product is promoted as “AI-powered” or promised to deliver certain results, disputes may follow over whether claims were accurate and how they were presented.

Contract disputes over AI services. Businesses may disagree with vendors about implementation, performance, timelines, or deliverables for AI projects.

Intellectual property and AI. Questions may involve training data, AI-generated content, ownership, and similarity to existing works.

Consumer protection. Cases may examine how AI features were disclosed, how chatbots interacted with users, or how automated decisions affected consumers.

Employment and HR tools. Automated screening and evaluation tools can raise questions about how decisions were made and communicated.

Product functionality and safety. Disputes may concern how AI features in apps, devices, or vehicles behaved in real-world use.

Trade secrets. Models, data sets, and training approaches are valuable confidential assets, and disputes can arise when employees or partners move on.

What AI Expert Witnesses Explain

• How common types of AI systems work, including machine learning models, generative AI, and recommendation systems.
• How companies typically develop, test, and deploy AI features.
• What AI tools can realistically accomplish and where their limitations lie.
• How AI products are marketed and how customers understand those claims.
• What governance, review, and oversight practices are customary.
• How AI has been adopted across industries and how practices have changed over time.

Explaining AI to Judges and Juries

Artificial intelligence can sound mysterious, and that mystery can make disputes harder to resolve. Effective AI experts strip away jargon and explain systems step by step. A machine learning model might be described as a system that learns patterns from many examples, much as a person learns to recognize a friend’s handwriting after seeing it many times. A generative AI tool might be explained as a system that predicts likely next words or image elements based on patterns in its training data.

Experts support these explanations with demonstrations, screenshots, diagrams, and examples of inputs and outputs. They describe what the system was designed to do, how it was tested, and how it behaved in the situation at issue. Clear explanation helps decision-makers evaluate claims on the merits and keeps attention on the real questions in dispute.

AI Marketing Claims

As AI became a powerful selling point, many companies began describing products as intelligent, automated, or AI-driven. Disputes may arise when customers or competitors believe those descriptions overstated what a product could do. Experts examine how claims were worded and presented, how the product actually functioned, what supporting evidence existed, and how companies in the industry typically describe similar capabilities.

They also consider how consumers and business buyers likely understood the claims. A technical buyer evaluating enterprise software reads claims differently than a consumer downloading an app. This context helps courts evaluate whether communications matched reality and aligned with customary practices.

AI Implementation and Vendor Disputes

Businesses increasingly hire vendors to build or deploy AI systems for customer service, analytics, marketing, and operations. Projects can run into trouble over data quality, integration, performance expectations, timelines, and costs. When disputes arise, experts review contracts, project plans, communications, and results, then explain how AI projects are typically scoped and managed, what performance is realistic, and what responsibilities clients and vendors usually carry. This analysis helps courts and arbitrators evaluate whether each party met reasonable expectations.

Generative AI and Creative Content

Generative AI tools produce text, images, music, video, and code, raising questions about training data, similarity to existing works, ownership, and disclosure. Experts can describe how generative tools are commonly used in creative industries such as marketing, gaming, and publishing, how companies review and edit AI-assisted content, and what practices are emerging around labeling and licensing. Courts benefit from this practical perspective as they address novel questions.

AI Governance and Responsible Use

Organizations adopting AI often establish policies for testing, oversight, privacy, fairness, and transparency. In litigation, questions may arise about whether a company followed reasonable practices when deploying AI. Experts explain common governance approaches, such as human review of high-stakes decisions, monitoring for errors, documenting model behavior, and communicating with users. They also describe how these practices have matured as AI adoption has grown.

AI in Consumer Products and Games

AI features appear throughout consumer technology: voice assistants, smart cameras, photo editing tools, fitness apps, and video game characters that adapt to players. Disputes may involve how features performed, how they were described, or how they handled user data. Experts familiar with consumer technology and gaming explain how these features are designed and tested, how users interact with them, and how companies typically communicate about them.

A Field That Changes Monthly

AI evolves at remarkable speed. New models, tools, and practices appear constantly, and what was advanced one year may be commonplace the next. Experts must place each dispute in its proper time frame, explaining what capabilities and practices existed when the events occurred. Experienced AI experts track these developments closely and can describe the state of the field at any relevant moment.

Common AI Dispute Scenarios

The Chatbot That Overpromised

A company’s customer service chatbot gives users inaccurate information about refunds. Customers rely on it, and a dispute follows. An AI expert can explain how the chatbot was built and configured, how such systems generate responses, what safeguards companies typically use, and how customers interact with automated assistants.

The Underperforming AI Platform

A retailer licenses an AI forecasting tool that was expected to reduce inventory costs. Results disappoint, and the parties disagree about whether the tool, the data, or the implementation was responsible. Experts review the project and compare it with customary practices for AI deployments.

The AI-Powered Feature in a Consumer App

An app promotes an AI feature that edits photos or recommends products. Users claim the feature behaved differently than advertised. Experts examine marketing claims, product behavior, and industry descriptions of similar features.

The Departing AI Team

Several engineers leave to start a competing AI company. The former employer claims they took models, data, or methods. Experts help distinguish general AI knowledge, widely published techniques, and open-source tools from proprietary assets.

Explaining Limitations Honestly

Every AI system has strengths and limitations. Models can make errors, reflect patterns in their training data, and perform differently on new kinds of inputs. Credible AI experts explain these characteristics openly, helping courts understand what reasonable users and buyers should expect. This candor strengthens testimony and keeps attention on whether the parties’ conduct aligned with realistic expectations.

Preparing an AI Expert

Counsel can support their expert by providing product documentation, model and system descriptions, marketing materials, contracts, test results, and data about real-world performance. Access to the system itself, or to recordings of its behavior, is often valuable. Early engagement allows the expert to help counsel request the technical information that will matter most.

Qualities of Top AI Experts

The best AI expert witnesses pair technical understanding with business and industry knowledge. They explain concepts clearly, stay current with fast-moving developments, document their methods carefully, and remain objective whichever side retains them.

AI Across Industries

AI disputes arise in nearly every sector, and experts tailor their analysis to the setting.

• Retail and e-commerce: recommendation engines, pricing tools, and customer service bots.
• Financial services: fraud detection, credit decisions, and automated advice.
• Healthcare: documentation tools, scheduling, and patient communication.
• Marketing and media: content generation, personalization, and audience targeting.
• Gaming: adaptive characters, content generation, and player support.
• Human resources: screening, scheduling, and employee assistance tools.
• Consumer technology: voice assistants, smart cameras, and photo tools.

Industry-specific knowledge helps experts explain how AI was used in context and what practices were customary for that field at the time.

How AI Disputes Progress

AI matters often require early technical exploration. Consulting experts help counsel understand the system, identify relevant documentation and logs, and preserve model versions or outputs that may change over time. During discovery, they help request training records, testing results, and performance data. Testifying experts then prepare reports explaining the technology and industry practices, respond to opposing experts, and testify using demonstrations and examples that make AI behavior visible to the court.

Independence in AI Testimony

AI disputes can carry high stakes for emerging companies, established brands, and consumers. Because the technology is new to many decision-makers, an expert’s credibility matters enormously. Courts give greater weight to experts who describe AI capabilities accurately, steer clear of overstatement in either direction, and ground opinions in documentation, testing, and recognized industry practices. Experts who have worked for both AI developers and the businesses or consumers who use AI bring balance that strengthens their testimony. Clear explanation of both what a system did well and where it fell short helps courts reach fair conclusions about the conduct at issue.

Data at the Heart of AI Disputes

AI systems depend on data for training, testing, and operation, and many disputes often turn on that data. Questions may include where training data came from, whether it was licensed, how representative it was, how it was cleaned and labeled, and how user data flows through a deployed system. Experts explain common data practices in AI development, how companies typically document data sources, and how data quality affects performance. This explanation helps courts connect technical choices to the outcomes at issue.

Scott Steinberg as an AI Expert Witness

Scott Steinberg is a technology and business expert, futurist, and author who serves as a consultant for 3000 brands, as well as an expert witness and consulting expert in AI matters involving sample areas such as privacy, class actions, trademarks, patents, IP, consumer technology, online services, apps, marketing claims, video games, and business adoption of AI tools. He brings extensive knowledge of how AI products are developed, marketed, and used across industries.

He works with plaintiffs or defendants and provides independent analysis of AI capabilities, industry practices, marketing, and consumer expectations. His services include consulting, expert reports, declarations, depositions, and testimony.

AI Expert Witness FAQ

What does an AI expert witness do?

An AI expert witness explains how artificial intelligence systems work and how they are developed, marketed, and used, and provides independent analysis on issues in dispute.

Who are the top AI expert witnesses for technology and marketing cases?

The top AI experts pair technical understanding with industry knowledge and clear communication. Scott Steinberg is often engaged for AI matters involving consumer technology, marketing claims, and online services.

Can an AI expert evaluate marketing claims about AI products?

Yes. Experts can compare claims with how a product actually functions and with industry practices for describing AI capabilities.

Do AI experts need access to the system at issue?

Access is often very helpful. Hands-on testing, recorded outputs, logs, and documentation let the expert describe how the system actually behaved rather than relying only on descriptions.

How quickly does AI expert testimony become outdated?

AI changes fast, so experts anchor their analysis to the time period at issue and explain how capabilities and practices stood when the events occurred.

Expertise for the AI Era

The top AI expert witnesses help courts understand a transformative technology and its real-world use. With the right expert, litigation teams can present AI issues accurately and persuasively.

To discuss expert support for an AI-related matter, reach out to Scott Steinberg’s team.