Semeris, a startup, aims to demystify legal documents by utilizing the latest AI and NLP techniques. They use MongoDB Atlas Search to help customers quickly analyze documents and extract data. Semeris CEO Peter Jasko explains that his company helps investor banking and lawyer clients analyze 500-1,000 pages of documentation in under two hours, previously taking 7-8 hours. The value of data is crucial for Semeris as it builds models around publicly available documentation to analyze less seen documents. Semeris's partnership with venture capital firm QVentures has helped them uncover contacts within the market and build out their technology on the MongoDB platform. Jasko praises MongoDB's scalability, ease of hiring tech developers familiar with the technology, cloud agnosticism, and seamless online upgrades without customer impact or downtime. Semeris uses MongoDB Atlas Search to retrieve thousands of data points from multiple documents, indexing capability, and quickly providing customers with the information they need.