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AI Considerations in Government Contract-Related M&A Transactions

The accelerated interest and investment in artificial intelligence (AI) technologies, catalyzed by the public launch of tools like ChatGPT, has not only captured the attention of the tech industry but has also significantly influenced the trajectory of U.S. federal government spending and regulatory frameworks. As government agencies ramp up their adoption of AI and establish guidelines for its utilization, the implications for businesses, particularly those engaged in mergers and acquisitions (M&A) within the AI government contracting space, are profound.

Increased Government Spending and Regulatory Focus on AI

In recent years, the U.S. federal government has markedly increased its spending on AI, with over $4.2 billion allocated to AI-specific contracts in the five fiscal years ending August 31, 2023. This investment is largely driven by the Department of Defense, which accounts for more than 95% of these awards. The recent proposal by a bipartisan group of senators to spend $32 billion annually on AI research and development further underscores the government's commitment to AI innovation.

Alongside this financial investment, the regulatory landscape for AI is rapidly evolving. The White House's Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence, issued in October 2023, mandated a comprehensive interagency council to guide federal agencies on the effective use of AI while managing associated risks. This order was followed by a 180-day plan that saw federal agencies complete key AI-related actions, including the application of AI to streamline processes such as energy permitting and visa renewals.

These developments track similar actions outside the U.S., including in the European Union and other jurisdictions, and signal an impending wave of state and municipal initiatives aimed at regulating AI. For government contractors, this creates a dynamic and challenging environment in which compliance, risk management, and strategic planning are more critical than ever.

Key Considerations for M&A in the AI Space

As government contractors continue to grow their AI capabilities and seek AI-specific contracts, the M&A landscape in this sector is becoming increasingly complex. Acquirors must be vigilant in their due diligence processes, paying particular attention to several key areas that could present unique risks and challenges:

  1. Internal AI Policies and Regulatory Compliance

    • Government contractors utilizing AI must develop robust internal policies that not only meet regulatory compliance obligations but also strike a balance between AI functionality and risk management. These policies should be tailored to the specific ways in which AI is used by the target company, whether in service delivery, AI model training, or tool development.

    • Acquirors should assess whether the target's AI solutions adhere to standards for responsible AI, including those set by the National Institute of Standards and Technology (NIST) and agency-level AI Governance Boards. NIST’s updated AI Risk Management Framework and related publications are particularly relevant in this context.

  2. Data Privacy and Bias Mitigation

    • The significant data requirements for AI model training introduce compliance obligations under state and local data privacy laws, such as the California Consumer Privacy Act (CCPA) and its counterparts in Colorado and Virginia. Acquirors should evaluate how the target excludes protected data from its training protocols and ensure that privacy policies account for AI usage.

    • Bias in AI outputs, stemming from biased training data or algorithms, poses significant risks, particularly in government contracting scenarios involving hiring or procurement. Acquirors must assess the target's efforts to mitigate bias and ensure compliance with federal directives aimed at preventing algorithmic discrimination.

  3. Cross-Border Considerations

    • AI government contractors operating internationally face a complex regulatory environment, particularly in light of the European Union’s AI Act and similar regulations in other jurisdictions. Acquirors must identify the relevant regulatory authorities and assess jurisdiction-specific risks in the target’s operations.

  4. Intellectual Property and AI

    • Intellectual property (IP) considerations are critical in the acquisition of AI government contractors. Acquirors should evaluate how the target develops, protects, and licenses its AI algorithms and their outputs. This includes understanding the implications of using copyrighted material for AI training, managing open-source software risks, and ensuring the protection of trade secrets in AI-driven processes.

  5. Purchase Agreement Protections

    • Given the unique risks associated with AI, acquirors should ensure that purchase agreements contain tailored representations, warranties, and recourse structures that specifically address AI-related concerns. This might include special indemnities, appropriately calibrated escrows, and other measures aligned with the parties’ risk allocation preferences.

Conclusion

As AI continues to transform the government contracting space, firms considering M&A in this sector must navigate an increasingly complex and rapidly evolving landscape. By focusing on regulatory compliance, data privacy, bias mitigation, cross-border considerations, intellectual property, and tailored purchase agreement protections, acquirors can better manage the risks associated with acquiring AI government contractors.

At Destiny Aigbe, we are committed to helping our clients successfully navigate the challenges and opportunities presented by AI in the government contracting sector. If you are considering an acquisition in this space or need guidance on AI-related legal issues, please do not hesitate to contact us.

Gayatri Gupta