Manual translation took lawyers a full day per page. Secure AI cuts this to minutes, using glossaries to keep legal terms consistent.
One of Japan's top five law firms employs over 1,000 staff across global offices in Tokyo, New York, and Singapore, handling high volumes of sensitive international casework.
Non-native English speakers faced significant hurdles processing large volumes of documents, with single-page translations often taking a full day to...
“In legal work, the glossary feature is essential for maintaining consistent translations of defined terms in contracts. This helps prevent misunderstandings and ensures accuracy across all documents.”
Full-service corporate law firm specializing in international legal matters.
DeepL is a technology company that specializes in AI-powered language translation and natural language processing services.
Related implementations across industries and use cases
Manual research across 520k documents consumed lawyers' time. A secure AI assistant now scans 2.7M texts, freeing them for strategy.
Lawyers manually reviewed 300-page technical reports. AI now scans the docs to draft affidavits and witness tables instantly.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
Teams waited weeks for agencies or used unvetted tools. Secure AI now translates full documents in 2 minutes.
Routing every request to linguists created bottlenecks. Staff now self-serve with secure AI, freeing experts for regulatory work.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Auditors lost hours manually recalculating financial statements. Now, AI verifies math and consistency so teams can analyze exceptions.
Opaque AI flags forced counsel to manually re-read documents. Now, generative AI cites its reasoning to accelerate final decisions.
Attorneys juggled fragmented tools to search 50,000 cases. An AI orchestrator now routes queries to sub-agents in a single chat.
Manual translation took lawyers a full day per page. Secure AI cuts this to minutes, using glossaries to keep legal terms consistent.
One of Japan's top five law firms employs over 1,000 staff across global offices in Tokyo, New York, and Singapore, handling high volumes of sensitive international casework.
Non-native English speakers faced significant hurdles processing large volumes of documents, with single-page translations often taking a full day to...
“In legal work, the glossary feature is essential for maintaining consistent translations of defined terms in contracts. This helps prevent misunderstandings and ensures accuracy across all documents.”
Full-service corporate law firm specializing in international legal matters.
DeepL is a technology company that specializes in AI-powered language translation and natural language processing services.
Related implementations across industries and use cases
Manual research across 520k documents consumed lawyers' time. A secure AI assistant now scans 2.7M texts, freeing them for strategy.
Lawyers manually reviewed 300-page technical reports. AI now scans the docs to draft affidavits and witness tables instantly.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
Teams waited weeks for agencies or used unvetted tools. Secure AI now translates full documents in 2 minutes.
Routing every request to linguists created bottlenecks. Staff now self-serve with secure AI, freeing experts for regulatory work.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Auditors lost hours manually recalculating financial statements. Now, AI verifies math and consistency so teams can analyze exceptions.
Opaque AI flags forced counsel to manually re-read documents. Now, generative AI cites its reasoning to accelerate final decisions.
Attorneys juggled fragmented tools to search 50,000 cases. An AI orchestrator now routes queries to sub-agents in a single chat.