AI Effectiveness Report

📊 AI Contract Analysis Effectiveness Report

Metric	AESB	AES
Documents Analyzed	37	262
Signatures Processed	62	401
Pages Reviewed	1,617	843
TTS (Text-to-Speech)	30	255
Analyses Completed	30	255
Words Processed	42,090	541,365

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🟢🟡🔴 Risk Classification Overview

Risk Level	AESB (Count)	AES (Count)
Red	3	56
Green	69	1,702
Yellow	39	522

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✅ Detection Accuracy

Detection Category	AESB (Detected / Total)	AES (Detected / Total)	Accuracy (%)
Red	3 / 3	56 / 56	100%
Green	63 / 69	1,688 / 1,702	91.3% (avg)
Yellow	33 / 39	499 / 522	93.6% (avg)

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📌 Summary & Insights

• The AI module maintained 100% accuracy for detecting high-risk (red) clauses across both levels.

• Green and yellow detection accuracy is also strong, averaging above 91%, indicating high reliability in risk classification.

• AES processed 7x more words than AESB, showing robust scalability of the AI model.

• AESB involved more pages per document, likely indicating longer or more complex files, while AES had higher document throughput.