AI in Legal Tech: Explainable Contract Agents That Lawyers Trust
Explainability is foundational, because lawyers need to understand “how” the AI made a recommendation () (). Regulators and experts emphasize that...
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Explainability is foundational, because lawyers need to understand “how” the AI made a recommendation () (). Regulators and experts emphasize that...
Data security is the set of practices and technologies used to keep information safe from unauthorized access, theft, loss, or damage. It covers protecting data at rest, in transit, and in use through measures like encryption, access controls, secure backups, and network protections. Good data security also means limiting who can see or change information, recording activity, and having plans to respond quickly if a breach happens. This matters because data often contains personal, financial, or confidential business information that could be abused if exposed. Strong data security helps prevent financial loss, identity theft, regulatory fines, and damage to reputation. It also supports trust: customers and partners are more likely to work with organizations that handle data responsibly. Effective programs combine technology, clear policies, staff training, and regular testing to stay ahead of new threats. In short, data security is about protecting valuable information so people and organizations can operate safely and with confidence.