# Data Privacy and Security Concerns with Legal AI In-house

> 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 .

**Author:** Alex Denne  
**Category:** Insights  
**Published:** 2024-12-18  
**Reading time:** 3 min

**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](https://www.genieai.co/blog/legal-ai). 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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