Can LLMs Create Legally Relevant Summaries and Analyses of Videos?
This addresses the challenge for laypeople in articulating legal events from videos, potentially improving access to justice, though it is incremental as it applies existing LLMs to a new domain.
The study investigated whether large language models (LLMs) can understand and summarize legally relevant events from videos, finding that 71.7% of summaries were rated as high or medium quality, enabling applications like drafting legal documents.
Understanding the legally relevant factual basis of an event and conveying it through text is a key skill of legal professionals. This skill is important for preparing forms (e.g., insurance claims) or other legal documents (e.g., court claims), but often presents a challenge for laypeople. Current AI approaches aim to bridge this gap, but mostly rely on the user to articulate what has happened in text, which may be challenging for many. Here, we investigate the capability of large language models (LLMs) to understand and summarize events occurring in videos. We ask an LLM to summarize and draft legal letters, based on 120 YouTube videos showing legal issues in various domains. Overall, 71.7\% of the summaries were rated as of high or medium quality, which is a promising result, opening the door to a number of applications in e.g. access to justice.