During a live demo your text summarization tool outputs irrelevant sentences for a high-priority legal document What could be wrong

Question

Can i know During a live demo, your text summarization tool outputs irrelevant sentences for a high-priority legal document. What could be wrong?

Answer 1

A text summarization tool generating irrelevant sentences for legal documents could suffer from improper weighting of key legal terms, lack of domain-specific fine-tuning, over-aggressive truncation, or ineffective importance scoring.

Here is the code snippet you can refer to:

​In the above code we are using the following key points:

• Using a General-Purpose Model Instead of a Legal-Specific Model → Switched to "nsi319/legal-led-base-16384", fine-tuned for legal text.
• Loss of Key Legal Terms Due to Improper Truncation → Adjusted max_length and min_length to retain relevant content.
• Irrelevance Due to Poor Importance Scoring → Disabled do_sample to ensure deterministic, legally precise summarization.
• Contextual Meaning Loss → Ensured long-context attention with a legal-domain model.
• Lack of Legal Terminology Awareness → A specialized model understands legal-specific wording and concepts.

Hence, fixing irrelevant outputs in a legal document summarization tool requires using a fine-tuned legal model, optimizing truncation limits, improving term preservation, and refining importance weighting to ensure accuracy and relevance.