Evidence
NUMBERS WITH RECEIPTS —
THEN PROOF, PER INDUSTRY.
Every figure below is from a public source. If we can't cite it, we don't claim it.
retrieval-failure reduction with Contextual Retrieval
Anthropic, Sept 2024
real-query coverage with hybrid search (vs 62% dense-only)
Superlinked benchmark
saved per contract review at A&O Shearman
Harvey case study
in court sanctions for AI-hallucination filings (Q1 2026)
1,348 documented cases
end-to-end success of a 10-step chain at 85% per-step (Lusser's Law)
Why we cap chains at ≤6 steps
Note on the Klarna number: their early 2024 framing of “AI replaced 700 humans” was walked back by mid-2025 as they rehired for complex cases. The $40M operational saving still stands. We scope agents to repeatable workflows and route edge cases to humans — that's the difference between a deployment that holds and one you walk back.
Proof on your corpus
Four industries. One architecture.
92 minutes on 5 NDAs → 26 seconds. 94% accuracy vs 85% human.
Agents for contract review, due diligence across thousands of documents, and precedent search. RAG over your contract corpus — no hallucinations, every answer cited.
What we build
- Contract review (NDA, MSA, loan agreements)
- M&A due diligence over 1000+ contracts
- Precedent search with citation-grounding
- Draft generation for memos and briefs
M&A due diligence
Partner write-downs
Contract review accuracy
Sources: LawGeex · Thomson Reuters 2025