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Identify and Manage Legal Risks in Your AI Systems

AI Risk Audits

If Generative AI is, as some say, the new fire, we’re now at the stage of our evolution where we humans are trying to bring the fire into the building to work its magic safely. That’s where our multidisciplinary team at DeepLaw comes in.

Risk Mitigation to Match the Unmatched Power of Generative AI

Why AI Risk Audits Matter

Artificial intelligence is transforming industries, but it also introduces new categories of risk—legal, regulatory, operational, and reputational.

GenAI will change almost every aspect of most organizations, from technology and talent to every contract and policy. But change to every process injects risk in every process, especially because the greatest risk of AI lies in human error. And if you have employees or contractors, you are already at risk.

Mid-market companies undergoing digital transformation face heightened scrutiny from regulators, investors, and customers. An AI risk audit identifies vulnerabilities in your systems, policies, and culture before they become enforcement actions or litigation.

Who Needs AI Risk Audits?

Our clients tend to be U.S.-based mid-market enterprises operating in highly regulated or complex industries, including:

  • Financial Services: banks, insurers, fintechs

  • Energy & Utilities: renewable developers, regional utilities

  • Healthcare & Life Sciences: hospital networks, medtech, digital health

  • Manufacturing & Industrial: smart factories, specialty manufacturers

  • Retail & Consumer: omnichannel retailers, direct-to-consumer brands

  • Technology & Software: SaaS, B2B platforms, fintech and regtech providers

These organizations are often growth-oriented, managing disruption, or expanding rapidly, and they need integrated visibility into risks spanning compliance, cybersecurity, operations, and governance.

What We Examine

DeepLaw’s AI risk audits go far beyond surface-level compliance. Drawing from leading frameworks, we and our consulting partners evaluate whether safeguards actually function under live conditions. Our audit framework tests for:

  • User Agency: Can individuals refuse, escalate, or exit AI-driven decisions without penalty?

  • Traceability & Accountability: Is there a verifiable audit trail linking outputs to accountable decision-makers?

  • Evidence Integrity: Can harm or error records stand up in court or before regulators?

  • Consent & Metrics: Is consent genuine, and do performance metrics measure reality rather than theater?

  • Jurisdiction & Enforcement: Can regulators enforce local laws, or is oversight displaced across borders?

Failing even one of these checks can render an AI system structurally noncompliant, creating live enforcement conditions.

What Executives Gain

An AI risk audit equips boards and senior leaders with:

  • A quantified view of AI-related risks across business functions

  • Benchmarking against industry peers

  • A roadmap for compliance, governance, and safe innovation

  • Evidence of proactive oversight to satisfy regulators, investors, and customers

Why DeepLaw AI Risk Audits?

  • Multidisciplinary Insight: Our team includes trial-tested lawyers, IP experts, technologists, and governance consultants.

  • Policy + Practice Alignment: We cut through paper guarantees to see whether safeguards actually work.

  • Technology Fluency: We understand neural networks, generative AI, and enterprise tech stacks—speaking both the legal and technical languages.

  • Proven Frameworks: We incorporate structural audit tests that regulators themselves use.

  • Strategic Outcomes: Our audits don’t just find risks; they produce actionable strategies for growth, compliance, and resilience.

Next Steps in Mitigating Risk

For mid-market leaders preparing for the next growth phase, an AI risk audit is more than a compliance exercise—it’s a strategic advantage. Schedule an Executive Risk Briefing or a Risk Quantification Workshop with DeepLaw to identify blind spots before they become liabilities.

Our Unique Multidisciplinary Approach

No solution can work without addressing all of these domains at once. You need both legal and AI-specific technical talent to assess your risks, and you need legal expertise in each of the many affected disciplines — copyright, First Amendment, defamation, data privacy, cybersecurity, patent, trademark, unfair and deceptive practices — to build around the tech experts’ recommendations on how to seize your GenAI opportunities.

Led by attorneys with decades of experience leading in-house technology development, DeepLaw’s diverse team of legal experts works hand-in-glove with AI technologists and ethicists; experts in leadership and talent attraction, engagement, and retention; experts in corporate governance; and change-management consultants. 

Full Range of Services

  • Auditing of your organization’s risks from GenAI
  • Mitigation of risk (new training, vendor contracts, company policies)
  • Identification of opportunities from GenAI (cost savings, superior customer service, new products) 
  • Project management of specially selected pilot projects
  • IP and data privacy protection 
  • Resource facilitation, staffing, employee training, educational programming 
  • Outside General Counsel services for early- to mid-sized startups

Brown Bag Zoom Webinars

Ask us to set up a lively conversation for your team, where we will explore: 

  • How LLMs work – and can’t be expected to work
  • The full breadth of legal risks introduced by GenAI
  • The technical barriers preventing many companies’ adoption
  • The use cases that so far appear worth the risks
  • Why you can’t get any copyrights in GenAI’s text and images if you haven’t improved on them
  • How to think about the hotly contested area of training LLMs on other people’s work
  • How to ensure employees and contractors don’t give up rights or secrets

Ready to Put GenAI to Work?

Unlock smarter strategies, faster results, and limitless creativity.