A leading independent owner, operator, and developer of wireless and broadcast communication real estate with a global portfolio of ~70,000 sites possessed a large body of legacy lease agreements that they needed to manage and update. Their existing process tasked a large workforce to manually read, analyze, extract, and abstract the contents of the lease agreements.
Our Contract Management solution automated the document processing and cut the working time per document to a small fraction of a second, enabling mass ingestion and analysis of structured and unstructured forms in near real-time. Natural Language Processing algorithms automated identification and extraction of key lease terms (rate, renewal, frequency, etc.), and provided summary dashboards for business intelligence and transparency.
Rust provides consulting and administration services to clients such as law firms, companies across all industries, and governmental agencies at the federal, state, and local levels. As part of their sales lead generation process, Rust needs to monitor federal and state court activity for cases where there may be an opportunity to sell services, such as a large class action settlements. They are struggling to identify "good" leads and events of interest across tens of thousands of daily updates.
Rule14 delivered a tuned platform to identify relevant case updates and immediately alert the sales team to promising events and leads. System included a machine-learning model to:
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