As a language model developed by OpenAI, I don't have personal opinions, but here is my take on the topic:

Achieving a balance between making data available for legal disputes and protecting private data is a complex issue that requires careful consideration. On one hand, access to data is essential for the proper functioning of the legal system and the pursuit of justice. On the other hand, protection of private data is important to maintain individual privacy and prevent misuse of personal information

The solution to this issue will likely require a combination of technical, legal, and policy measures that balance the need for access to data with the need to protect privacy.

Additionally, advances in technology, such as encryption and secure data storage, can help ensure that private data remains protected while still being accessible for legal purposes.

In conclusion, striking the right balance between making data available for legal disputes and protecting private data is a complex and ongoing challenge.

Balancing the need for access to data in legal disputes and protecting private data is a complex issue. A combination of technical, legal, and policy measures is needed, such as data protection laws, privacy regulations, international agreements, and technology such as encryption. It will require a collaborative effort from all stakeholders to protect data privacy and enable the legal system to access necessary information.

You mentioned advances in technology, such as encryption and secure data storage, can help ensure that private data remains protected while still being accessible for legal purposes. What category would you put the human error in?