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AI Risk & Data Strategy

Managing Risk at the Intersection of Law and Technology

Love it or hate it, the adoption and integration of the power of artificial (AI) is no longer optional. Every business needs a strategy for adapting to, and hopefully thriving and harnessing the opportunities presented by, today’s dynamic digital landscape. While once a futuristic concept, AI is already a tangible force driving innovation across industries. Mintz’s interdisciplinary AI Risk & Data Strategy Practice focuses on helping clients harness their competitive edge while managing their risk exposure in an evolving and uncertain legal and regulatory climate.

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Our Approach

The lightning-fast evolution of AI technologies has created a significant pace discrepancy between technological innovation and legal and regulatory responses to it. This disconnect creates uncertainty and unease about legal compliance, the development and implementation of ethical standards, and, ultimately, the ability to identify and mitigate a company’s risk. Our seasoned attorneys and professionals specialize in providing comprehensive solutions tailored to both safeguard and help propel your company’s journey into the realm of AI. We work collaboratively with your company’s in-house legal team, C-suite, and board of directors to pinpoint your key AI-related risks and their commercial implications, and to develop and implement practical strategies for mitigating these risks in a way that supports, or at a minimum, reduces friction with, your business’s priorities and strategy.

Our Suite of Services
  • Bespoke AI risk mapping, ranging from a full legal, ethical, and technical mapping across all business units, geographies, and key relationships to a more targeted review of specific use cases and technologies
  • Architecting a risk mitigation strategy and associated deliverables such as decision trees, policies, playbooks, information governance reviews, contract templates, or suggested revisions to existing agreements, policies, and third-party contracting diligence and approaches
  • Developing AI policies and ethical frameworks, and adjustments to information governance practices (often in collaboration with a consultant in the appropriate jurisdiction)
  • Government relations advisory services, including influencing development of regulation
  • Crisis and incident response, including preventative policy and response playbook development, crisis communications, internal and government investigations, and insurance risk coverage analysis
  • Board and executive-level training on AI risk management and policy implementation
Monitoring Current and Emerging AI Risks
  • Regulatory investigations and government actor enforcement
  • Human rights violations
  • Cyber risk
  • Privacy breach
  • Supply chain risk
  • Infringement of third-party patent rights, copyrights, or terms of use
  • Breach of confidence and violation of data rights
  • Class action lawsuits
  • Insurance coverage
  • Reputational risk
  • Geopolitics

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