2.1.2. Classification
LLMs are good at performing classification tasks, assigning a class or category to text. You provide the AI model with a list of categories to choose from (or the model can generate its own categories) and the content you want analyzed. Text classification serves various applications, including fraud detection, sentiment analysis, and content monitoring, among others, thereby proving to be advantageous for legal professionals.
Example: Personal Injury Cases
We work with several firms specializing in personal injury which spend countless hours producing medical chronology reports and medical summaries. Let's imagine we want craft a prompt that is able to identify a client's diagnosis from the discharge notes found within a client's health records from their visit to the ER following the accident. This is a pretty simple classification problem. Let's see how we might be able to achieve this with the following prompt template:
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