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"Securing the Future of Legal Research: A Critical Framework for Legal AI Security (Part 3)"

Establishing a security framework should be a top priority for any law firm considering the adoption of AI. While new technological advancements provide growth opportunities, they can also introduce significant vulnerabilities to your firm and the clients that you represent.

As a law firm, you are entrusted with managing not only your clients' cases but also their sensitive information. The rapid changes in the AI landscape serve as a reminder that organizations must stay updated with technological advancements while exercising caution. 

Conducting a comprehensive tool assessment is essential for operating with confidence. Your tool should be guided by three key design principles: transparency, human oversight, and bias mitigation. Additionally, it should adhere to advanced encryption standards comply with SOC frameworks. Ensuring data protection and confidentiality is paramount, among other requirements. 

Download part 3 of this 4 part series and explore the “seven things to look for in a legal AI solution you can trust.” Topics discussed include:  

• The gold standards in security and privacy 
• Why your clients’ confidential data should never be used to train AI models 
• Trustworthy legal AI solutions and how they should be guided by the expertise of trained lawyers 
• The use of Retrieval-Augmented Generation (RAG) to optimize legal accuracy by grounding user prompts in trusted sources  
• And more! 

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