From Knowledge Management to Intelligence Engineering – A practical approach to building AI inside the law-firm
using open-source Large Language Models

Open-source foundational language models unlock a new opportunity for building AI inside law firms. This paper provides a practical approach on how law firms can leverage the latest advancements in LLMs and Generative AI without compromising on data privacy and security through open-source models for internal use cases. 

The paper explores how these models can be fine-tuned and present a novel addition of intelligence engineering to the traditional knowledge management process that involves instruction fine-tuning language models to infinitely scale access to explicit knowledge.  Including a practical demonstration of this technical approach with a proof of concept using an open-source foundational model based on the GPT-3 architecture and an open-source dataset of contracts.

 Source: CEUR Workshop Proceedings 






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