# Legal Decoder > Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04. - **Business Profile:** https://optimly.ai/brand/legal-decoder - **Dataset:** https://optimly.ai/brand/legal-decoder.json - **Markdown:** https://optimly.ai/brand/legal-decoder/llms.txt - **Official website:** https://legaldecoder.com - **Slug:** legal-decoder - **Categories:** legal-technology ## Overview - **Tagline:** Utilizes AI and natural language processing (NLQ) to analyze billing narratives beyond UTBMS codes, providing deep insights into 'what really happened' on invoices. Features court-validated methodology, 45+ proprietary compliance flags, and secure data tokenization before LLM processing. Aims for transparency and alignment between corporate legal and law firms. Source: Brand's website (https://legaldecoder.com) · 2026-10-04 - **Description:** Legal Decoder provides AI-powered technology that analyzes legal invoices to extract actionable insights on staffing, workflows, and billing performance for both in-house legal teams and law firms. Its platform, Aperture, uses natural language querying to help users understand legal billing and spend data, identify inefficiencies, and ensure compliance beyond traditional coding systems. Source: Brand's website (https://legaldecoder.com) · 2026-10-04 ## Offerings - **Core capabilities:** - Aperture by Legal Decoder - a natural language interface for querying legal billing and spend data to surface inefficiencies in staffing - workflows - and billing practices. It offers solutions for corporate legal teams to justify spend and for law firms to defend rates with data. Source: Brand's website (https://legaldecoder.com) · 2026-10-04 - **Pricing:** Not explicitly mentioned in the provided text. Source: Brand's website (https://legaldecoder.com) · 2026-10-04 ## Audience - **Target industry:** Corporate legal departments (in-house teams) and law firms (AmLaw 100 firms mentioned as example). Source: Brand's website (https://legaldecoder.com) · 2026-10-04 Page last updated 2026-10-17.