Legal AI Test Records 70% Correct Value Extraction After Revisions
Photo: TokenPost
Revised instructions for a large language model coincided with a rise from 52% to 70% in values correctly extracted from driving-under-the-influence verdicts, showing why clear guidance matters in legal data work. The test formed part of a process for turning criminal verdicts into structured datasets. The process explores which details to capture, identifies supporting passages and converts extracted information into standardized values. Legal experts can refine the instructions that guide those steps. In the driving-under-the-influence cases, the share of correctly extracted values reached 70% after the instructions were revised, compared with 52% under the earlier guidance.
Source: TokenPost
