Law Departments Use AI to Manage Automated Correspondence
A new Dentons study finds legal teams adopting AI tools to filter a high volume of automated employee and customer messages.
Updated on Oct. 27, 2026 in Artificial Intelligence
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Legal departments are increasingly utilizing AI to process a surge in AI-generated grievances, complaints, and data requests. A study by Dentons highlights how companies are centralizing legal data to better manage these automated submissions.
Why it matters
As external parties rely more on automated drafting tools, in-house legal teams are turning to AI to maintain efficiency and handle high volumes of incoming correspondence.
Legal teams at 10 companies are centralizing internal legal data to facilitate the integration of AI tools. These systems are used to automate repetitive tasks including invoice review, customer screening, and contract checking.
The players
Dentons
This global law firm conducted the research study regarding the implementation of AI within corporate legal departments.
Mastercard
This multinational financial services corporation was one of the ten companies that participated in the Dentons study.
Gilead Sciences
This American biopharmaceutical company took part in the research project by providing insights into its legal department operations.
The details
Companies are leveraging AI to filter and analyze the influx of AI-generated content received from both employees and customers. While these tools assist in processing high-volume requests like GDPR inquiries, most firms report that they are not using the technology to replace human legal roles.
Timeline
October 27, 2026: Dentons published its research study on AI use in corporate legal departments.
The Tech Race
The widespread use of automated writing tools represents a major shift in how corporate legal departments handle administrative compliance. Companies are now forced to adopt advanced AI filtering systems to keep pace with the General Data Protection Regulation and the rising volume of digital communication.
The adoption of these tools means that consumer and employee communications are increasingly processed by automated systems rather than human eyes. This shifts how individuals should expect their grievances and data requests to be prioritized and handled by large corporate entities.
The takeaway
Legal departments are prioritizing the centralization of data to ensure AI can effectively assist in filtering high-volume communications. Organizations looking to adopt these tools should focus on augmenting human expertise rather than replacing it to maintain internal compliance standards.
Further reading
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