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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 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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Data Privacy Impact Assessment
An England & Wales legal document granting distribution rights and outlining obligations for international product sales.
Data Protection Impact Assessment Policy
A policy document outlining procedures for conducting Data Protection Impact Assessments under UK law.
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