“I’m 15 and I Built a Private AI to Save Law Firms from Data Leaks.”
📰 Medium · Cybersecurity
A 15-year-old builds a private AI to prevent data leaks in law firms, highlighting the importance of local-server LLMs for attorney-client privilege
Action Steps
- Build a local-server LLM using Ollama to restore attorney-client privilege
- Configure the LLM to detect and prevent data leaks
- Test the LLM with sample client data to ensure its effectiveness
- Apply the LLM to a law firm's workflow to protect sensitive information
- Compare the results of using a local-server LLM to cloud AI solutions
Who Needs to Know This
This article is relevant to cybersecurity and AI teams, particularly those working with law firms or handling sensitive client data. The team can benefit from understanding the risks of cloud AI and the potential of local-server LLMs
Key Insight
💡 Cloud AI can be a liability for law firms due to data leak risks, while local-server LLMs can provide a secure solution
Share This
🚨 15-year-old builds private AI to prevent data leaks in law firms! 🚨 Local-server LLMs can restore attorney-client privilege #AI #cybersecurity #law
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