Everyone’s chasing the next AI summarizer that promises to “revolutionize” compliance reviews. Tried a few. Most are just wrappers around the same LLM, hallucinating key figures or missing critical clauses.
For 10-Ks, SEC filings, and audit trails, you need extraction, not just summarization. I still fall back on a simple pipeline: download the PDF, chunk it with `pymupdf`, run regex patterns for specific sections (e.g., “Risk Factors”, “Legal Proceedings”), then dump clean text into a staging table for review. Here’s the pattern matching bit I use for segmenting:
```sql
-- Staging table for extracted sections
CREATE TABLE stg_sec_filing_sections (
filing_id INTEGER,
section_name VARCHAR(100),
content TEXT,
extracted_at TIMESTAMP
);
```
Then query against known risk keywords. Tools that don’t let you trace back to the original text and position are useless for compliance. Does anyone actually use an automated summarizer here that doesn’t break on complex tables or legalese?
SQL is enough