SOLVED: A law firm’s internal semantic search system fails to retrieve cases when lawyer ...

A law firm’s internal semantic search system fails to retrieve cases when lawyers search using industry-specific jargon. What is the most effective solution?

Train a domain-specific embedding model (e.g., fine-tune BERT on legal documents)

Use a general-purpose embedding model like Word2Vec

Reduce stopword filtering to keep legal terms intact

Rely only on keyword-based search with exact matches

Verified Answer

Correct Option - a

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