Legal AI optimization
Token compression for legal AI
Legal documents are long, precise, and every clause matters. Token compression for legal AI keeps all contract-critical language while removing boilerplate, headers, and redundant recitals.
Why legal AI needs compression
A typical contract review involves: the full contract text (2,000-10,000 tokens), related correspondence (1,000-5,000 tokens), redline history (500-3,000 tokens), and negotiation notes (500-2,000 tokens). Total: 4,000-20,000 tokens per review.
Most of this content is standard boilerplate, defined terms sections, and repetitive formatting. The actual negotiated clauses, obligations, and representations are a small fraction of the document.
SuperCompress scores each sentence against the reviewer's question and keeps only the sentences containing obligations, definitions, representations, and key commercial terms. Boilerplate, recitals, and standard language are removed.
Savings for legal teams
| Document Type | Original Tokens | Compressed | Annual Volume | Annual Savings |
|---|---|---|---|---|
| Contract review | 8,000 | 1,200 | 1,000 | $20,400 |
| Discovery review | 5,000 | 750 | 10,000 | $127,500 |
| Case law research | 3,000 | 450 | 5,000 | $38,250 |
Frequently asked questions
Does compression preserve exact legal language?
Yes. SuperCompress selects original lines, never rewrites text. Every clause, definition, and obligation is preserved verbatim.
Can I audit what was removed?
Yes. The compressor returns compression-risk scores. You can log what was removed for compliance and audit trails.
Build with less context
Put compression in front of your next LLM call.
Use the hosted API or run SuperCompress locally. Keep the evidence, drop the token waste, and measure the savings before it reaches your model.