Extract from Epiq’s article “AI Evolution: Prompting and Problem Solving”
The world of artificial intelligence (AI) is evolving at rapid speed, especially with the rise of generative AI tools. Large language models (LLMs) like ChatGPT have the potential to automate or expedite any task that requires the recognition and generation of textual content at quality levels that are often indistinguishable from human-generated text. These LLMs are in the early stages, so the output often lacks context and requires human review. This will improve quickly as the model trains with more data.
In the legal industry, the prospective generative AI use cases for both corporate legal departments and law firms are plentiful. The most significant short-term opportunities will likely be optimizing internal processes. Examples include generating reminders around security, compliance, and information summarization across commercial contracts; incorporating generative AI into existing eDiscovery solutions; template creation; and brief drafting.
As with any new technology, the implications of usings LLMs are a top concern in the legal industry. There is a desire for deeper understanding of how this technology works to determine optimal use cases and limit risk. Prompt engineering and problem formulation are two areas to explore further, as these processes are paving the way for better-trained models.
