--- title: Agentic Intelligence for Contract Review on Snowflake description: Snowflake's Forward Deployed Engineer team built an internal AI-powered contract review agent using Snowflake Cortex AI, AI Extract, and Streamlit. The system... canonical: https://daily.dev/posts/agentic-intelligence-for-contract-review-on-snowflake-4z8td0cer twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Agentic Intelligence for Contract Review on Snowflake | daily.dev og:description: Snowflake's Forward Deployed Engineer team built an internal AI-powered contract review agent using Snowflake Cortex AI, AI Extract, and Streamlit. The system... og:url: https://daily.dev/posts/agentic-intelligence-for-contract-review-on-snowflake-4z8td0cer og:image: https://api.daily.dev/og/posts/4Z8TD0cER.png og:image:alt: Agentic Intelligence for Contract Review on Snowflake og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Agentic Intelligence for Contract Review on Snowflake **[Snowflake](https://daily.dev/sources/snowflake)** · 7 min read · 1 upvotes · 0 comments ## Summary Snowflake's Forward Deployed Engineer team built an internal AI-powered contract review agent using Snowflake Cortex AI, AI Extract, and Streamlit. The system ingests order form PDFs, extracts structured fields, classifies contract terms against an auditor-managed playbook, and flags novel clauses using semantic similarity. Auditors retain full control via an editable rules engine stored in Snowflake, with every decision logged for audit trail purposes. Results include a 70% reduction in review time and full population coverage without linear headcount growth. The architecture is being extended to other document types. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### How much did AI reduce contract review time in Snowflake's internal audit process? Review time was cut by 70%, turning a process that previously took days into one completed in hours. The Contract Review Agent, built on Snowflake Cortex AI and AI Extract, ingests order form PDFs, classifies clauses against an auditor-managed playbook, and lets auditors focus on exceptions rather than exhaustive manual scanning of every document. _daily.dev surfaces real-world agentic AI implementations for teams weighing automation of document-heavy compliance workflows._ ### How does an AI agent detect nonstandard contract clauses it wasn't explicitly programmed to look for? A two-layer approach is used: known-standard contract language is embedded and indexed, and clauses that are semantically distant from this corpus get flagged as potentially novel. Flagged terms are then checked against existing playbook rules to separate truly novel language from known patterns, and auditors label surfaced terms as meaningful anomalies or routine noise to refine future detection. _engineers designing anomaly detection into review agents can follow similar novel-term approaches shared on daily.dev._ ### How can auditors update contract review rules without engineering involvement? Rules live in an editable playbook stored as a governed Snowflake table that the audit team owns and edits directly through the application UI, with no engineering ticket required. Each rule defines a term, its detection criteria, and its classification; changes take effect immediately on the next processing run and are logged to an immutable audit trail recording who changed what and when. _teams building self-service rule engines for domain experts can compare governance patterns via daily.dev._ ## Similar posts on daily.dev - [Document Processing with Snowflake Cortex AISQL](https://daily.dev/posts/document-processing-with-snowflake-cortex-aisql-jeg8jxcda) · Snowflake Community · 0 upvotes · 0 comments - [Agentic ML in Snowflake: Automate Predictive Insights Faster](https://daily.dev/posts/agentic-ml-in-snowflake-automate-predictive-insights-faster-4klkkscrz) · Snowflake · 1 upvotes · 0 comments - [Databricks fires back at Snowflake with SQL-based AI document parsing](https://daily.dev/posts/databricks-fires-back-at-snowflake-with-sql-based-ai-document-parsing-sdjvvh8m5) · InfoWorld · 0 upvotes · 0 comments - [Snowflake as an Agent Runtime: From Static Pipelines to Autonomous Data Systems](https://daily.dev/posts/snowflake-as-an-agent-runtime-from-static-pipelines-to-autonomous-data-systems-te20qhodj) · Snowflake Community · 1 upvotes · 0 comments --- Tags: [#snowflake](https://daily.dev/tags/snowflake), [#agentic-ai](https://daily.dev/tags/agentic-ai) [View this post on daily.dev](https://daily.dev/posts/agentic-intelligence-for-contract-review-on-snowflake-4z8td0cer) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Agentic Intelligence for Contract Review on Snowflake","url":"https://daily.dev/posts/agentic-intelligence-for-contract-review-on-snowflake-4z8td0cer","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/agentic-intelligence-for-contract-review-on-snowflake-4z8td0cer"},"datePublished":"2026-08-05T18:58:37.720Z","dateModified":"2026-09-13T19:18:28.710Z","description":"Snowflake's Forward Deployed Engineer team built an internal AI-powered contract review agent using Snowflake Cortex AI, AI Extract, and Streamlit. 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