Hanzo has received a new patent for its Spotlight AI technology, reinforcing its position in applying generative AI to collaboration data analysis. The patent specifically protects Hanzo's method for creating actionable AI signals from dynamic, unstructured collaboration environments such as Slack, Teams, and Confluence, where conventional eDiscovery tools often face scalability challenges.
Traditional keyword searches frequently miss the contextual nuances of modern chat platforms. Hanzo tackles this issue with Spotlight Signals, a generative AI-powered feature that interprets the human aspects of collaboration data. By tracking evolving relationships, sentiment, and behavioral changes, Spotlight Signals filters out irrelevant information to pinpoint actual risks and relevant content. This methodology offers legal and compliance teams defensible, explainable signals, enabling them to detect crucial matters without dealing with excessive false positives.
In operational settings, this approach has achieved up to a 99% decrease in data volumes needing human review, substantially speeding up investigations, audits, and eDiscovery processes while lowering costs and operational strain. Dave Ruel, VP of Product at Hanzo, stated, "This patent validates our conviction that modern collaboration data requires a fundamentally new approach. You cannot solve today's complex data challenges with yesterday's keyword searches. Spotlight Signals is designed for the complexity, scale, and nuance of how teams actually work today."
The news follows Hanzo's receipt of industry awards for AI innovation in 2023, 2024, and 2025, further cementing the company's role as a frontrunner in using generative AI for intricate data types. Unlike generic AI tools modified for enterprise applications, Hanzo's technology is specifically engineered for modern collaboration data involved in high-stakes audits, investigations, and eDiscovery. For more details, visit https://www.hanzo.co.
With this latest patent, Hanzo continues to advance its leadership in generative AI for collaboration intelligence, assisting in-house teams in accelerating processes, cutting legal expenses, and making earlier decisions while preserving accuracy, defensibility, and trust. This development is significant as it addresses the growing complexity of digital communication in workplaces, offering a more efficient and reliable solution for data analysis in legal and compliance contexts, potentially transforming how organizations handle large-scale data reviews and mitigate risks associated with collaborative platforms.
