Toronto, Canada

Natalie Heisler

This inventor holds 1 USPTO granted patent. Top assignee: Accenture Global Solutions Limited. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Natalie Heisler. Retrieved from https://idiyas.com/inventor/natalie-heisler

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Natalie Heisler: Innovator in Legal Technology

Introduction

Natalie Heisler is a prominent inventor based in Toronto, Canada. She has made significant contributions to the field of legal technology through her innovative patent. Her work focuses on utilizing machine learning models to enhance the understanding and application of legal regulations.

Latest Patents

Natalie holds a patent for a device that processes input data associated with legal regulations. This device generates a record that includes the input data in both knowledge representation and semantic representation formats. It identifies features, industry classifications, and entities of interest. The device employs machine learning models to determine output data, which may indicate inconsistencies, outdated regulations, sentiment, prescriptive nature, complexity, misrepresentation, compliance burdens, or industry performance impacts related to the legal regulation. The device can also perform actions based on the output data, showcasing its practical applications in the legal field.

Career Highlights

Natalie is currently employed at Accenture Global Solutions Limited, where she applies her expertise in legal technology. Her innovative approach has positioned her as a key player in the intersection of law and technology.

Collaborations

Some of her notable coworkers include Thomas Kim and Sungwon Youn, who contribute to the collaborative environment at Accenture.

Conclusion

Natalie Heisler's work exemplifies the potential of machine learning in transforming legal processes. Her patent reflects a forward-thinking approach to addressing the complexities of legal regulations.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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