How do protect your data in an AI-driven environment? Here’s what you need to know.
Even well-secured apps can leak data
If your app pulls in third-party content — like URLs, comments, or files — LLM features can be tricked into leaking private data through indirect prompt injection. Most teams don’t even realize it’s happening.
According to a 2025 Gartner survey,
73%
of enterprises have suffered an AI-related security breach in the last year
$4.8M
average cost per incident — with indirect prompt injection and data leakage via LLMs now among the top attack vectors for financial services and healthcare organizations
In recent incidents, platforms like ChatGPT and Microsoft 365 Copilot were exploited by attackers using hidden prompts and indirect content injection, leading to unintended data exposure
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Some Quick facts about each vendor
Harvey
Legora
Rapidly scaled to become a global leader in legal AI, serving over 300 professional service firms across 53 countries.
Europe-based but expanding globally, with offices in New York, London, Stockholm; strong client base among leading UK, European, and now US law firms.
Raised significant recent funding ($300M Series E), now valued at $5B as of June 2025.
Empowers lawyers to review, research, and draft collaboratively, focusing on cross-market legal workflows.
Focus is on augmenting—not replacing—legal professionals, aiming for widespread daily use among lawyers.
Recent $80M Series B round, hitting a $675M valuation less than two years after launch.
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