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.

By Arjun Shah - Creator of SuperCompress - Updated 2026-07-03

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 TypeOriginal TokensCompressedAnnual VolumeAnnual Savings
Contract review8,0001,2001,000$20,400
Discovery review5,00075010,000$127,500
Case law research3,0004505,000$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.

Try it yourself

Paste your long prompt into the playground, ask a question, and see what SuperCompress keeps and removes. Free, no signup needed.

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