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 Privacy and Security Concerns with Legal AI In-house

18th December 2024

3 min

Research

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 Privacy and Security

Data privacy and security remain paramount concerns for in-house legal teams adopting AI technologies:

68% of legal industry respondents cited data security concerns as a barrier to AI adoption, while 62% pointed to privacy and confidentiality issues.[94]

The confidential and sensitive nature of legal work requires assurances that client data is not being misused by AI tools.[95]

Legal-specific AI solutions are often designed with privacy and security as top priorities, in contrast to generic AI tools that may have less stringent data protections.[96]

In-house legal departments must carefully evaluate the data handling practices of AI vendors and implement robust safeguards to protect sensitive information.

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