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CONAN: A Semantic Search System for Contract Analytics

CONAN (Contract Analytics) is an application developed in collaboration between the Data Office Group Functions and the Legal department of Merck KGaA.

It leverages AI capabilities to enable on demand insights into Merck contracts. While it is currently being used by the direct legal colleagues, the vision is, that colleagues all around Merck can utilize it to understand their contracts better.

The team is solving this natural language task by using AI models for asymmetric semantic search to extract clauses from contracts that users are looking for. Contracts are being pre- processed with the help of SparkNLP and SparkOCR before they can be analysed on a semantic basis. Tools such as ChatGPT are being explored as an extension to give the user more flexibility and capabilities to investigate on contracts.

Using Healthcare-Specific LLM’s for Data Discovery from Patient Notes & Stories

This session describes benchmarks and lessons learned from building such a pilot system on data from the US Department of Veterans Affairs,...