Alex Denne
Head of Growth (Open Source Law) @ Genie AI | 3 x UCL-Certified in Contract Law & Drafting | 4+ Years Managing 1M+ Legal Documents | Serial Founder & Legal AI Author

Data Security and Client Confidentiality Concerns with Legal AI at Biglaw

18th December 2024
3 min
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Note: This article is just one of 60+ sections from our full report titled: The 2024 Legal AI Retrospective - Key Lessons from the Past Year. Please download the full report to check any citations.

Data Security and Client Confidentiality

AI systems require access to vast amounts of sensitive client data, increasing potential cybersecurity risks.

A 2023 report revealed that 68% of legal industry respondents cited data security concerns as a barrier to AI adoption, while 62% pointed to privacy and confidentiality issues.[123] In 2024, the National Center for State Courts emphasized that judicial officers must be cognizant of whether they or their staff are entering confidential, sensitive, or draft information into an open AI system when conducting legal research or drafting documents.[124]

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