Industry Focus

Artificial Intelligence and Machine Learning

We guide AI and ML companies through the complex legal landscape of emerging technology, addressing intellectual property protection, regulatory compliance, ethical considerations, and risk management for this transformative industry.

50+ Trademarks
95% Success Rate
$1M+ IP Value Protected

Ready to protect your innovations?

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Industry Overview

Legal Counsel for the AI Revolution

Artificial intelligence and machine learning technologies are transforming every sector of the economy, from healthcare diagnostics to autonomous vehicles to creative content generation. MC Law stands at the forefront of AI legal practice, helping clients navigate unprecedented challenges at the intersection of technology, law, and ethics.

Intellectual Property Strategy

AI presents unique IP challenges that require innovative legal approaches. We advise on patentability of AI inventions and algorithms, ownership of AI-generated content and outputs, protection of training data and datasets, trade secret strategies for proprietary models, and open source compliance for AI frameworks.

Regulatory Navigation

The regulatory landscape for AI is evolving rapidly across jurisdictions. We help clients understand and comply with the EU AI Act and risk-based frameworks, US state and federal AI initiatives, sector-specific AI regulations in healthcare, finance, and transportation, international AI governance frameworks, and algorithmic accountability requirements.

Transactions and Investments

AI companies require specialized transaction support. We structure AI technology acquisitions, negotiate training data licenses, draft AI development and service agreements, conduct IP due diligence for AI investments, and advise on AI company formations and financings.

Ethics and Risk Management

Responsible AI development is increasingly expected by regulators, customers, and the public. We counsel on AI ethics policies and governance frameworks, bias testing and mitigation strategies, explainability and transparency requirements, liability allocation for AI decisions, and insurance and indemnification for AI risks.

Key IP Challenges

Patent Eligibility

Navigating Section 101 requirements for AI and algorithm-based inventions in the post-Alice landscape.

Trade Secret Balance

Determining when to patent versus maintain as trade secrets, especially for training data and model weights.

Inventorship Questions

Addressing inventorship for AI-assisted inventions and outputs generated by machine learning systems.

Defensive Positioning

Building patent portfolios that provide freedom to operate and defense against competitors.

Open Source Issues

Managing IP implications of using open-source frameworks and contributing to open-source projects.

Global Strategy

Coordinating international patent filings across jurisdictions with varying approaches to AI patentability.

Representative Matters

Patent Prosecution

Machine Learning Platform Portfolio

Built a comprehensive patent portfolio of 40+ patents protecting a Fortune 500 company's machine learning infrastructure.

95% allowance rate
Trade Secret

AI Training Data Protection

Developed comprehensive trade secret protection program for proprietary datasets and model training methodologies.

Full protection secured
Litigation

Patent Infringement Defense

Successfully defended AI startup against patent infringement claims from industry competitor.

Case dismissed
Licensing

Cross-License Agreement

Negotiated strategic cross-licensing agreement between AI companies enabling market expansion.

$50M+ value created
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Discuss Your IP Strategy

Our industry-specialized attorneys are ready to help you develop a comprehensive intellectual property strategy tailored to your business.

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