Staff spent two days manually hunting for legal codes. Secure AI agents now cross-reference millions of documents in two minutes.
The French public administration processes over 100 million documents annually to provide tailored responses to citizen inquiries while adhering to strict data sovereignty and security regulations.
Public servants previously took up to two days to manually retrieve relevant information and cite specific legal references for inquiries. This...
“ThinkDeep AI knowledge and expertise have been instrumental in deploying and scaling our generative AI platform.”
French government ministry for economic policy, public finance, and industry.
Developed the DeepBrain multi-agent platform and integrated LLMs for the Ministry's AI workloads.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Ministry of Economy and Finance (France)'s Legal document processing is part of this use case:
Related implementations across industries and use cases
Inspectors manually reviewed thousand-page construction applications. Now, AI flags code inconsistencies for final human review.
Complex math and chemical structures bottlenecked transcriptions. A fine-tuned OCR model now structures this data into ST36 XML.
General AI failed to parse 6,000 complex budget codes. A custom model now maps every line to green goals, cutting manual work by 30%.
Deciphering 50km of records required specialized historians. Agentic AI now lets the public query 750 years of history in plain language.
Teams manually screened hundreds of pages per deal. Now, they query filings to surface critical insights instantly.
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Staff spent two days manually hunting for legal codes. Secure AI agents now cross-reference millions of documents in two minutes.
The French public administration processes over 100 million documents annually to provide tailored responses to citizen inquiries while adhering to strict data sovereignty and security regulations.
Public servants previously took up to two days to manually retrieve relevant information and cite specific legal references for inquiries. This...
“ThinkDeep AI knowledge and expertise have been instrumental in deploying and scaling our generative AI platform.”
French government ministry for economic policy, public finance, and industry.
Developed the DeepBrain multi-agent platform and integrated LLMs for the Ministry's AI workloads.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Ministry of Economy and Finance (France)'s Legal document processing is part of this use case:
Related implementations across industries and use cases
Inspectors manually reviewed thousand-page construction applications. Now, AI flags code inconsistencies for final human review.
Complex math and chemical structures bottlenecked transcriptions. A fine-tuned OCR model now structures this data into ST36 XML.
General AI failed to parse 6,000 complex budget codes. A custom model now maps every line to green goals, cutting manual work by 30%.
Deciphering 50km of records required specialized historians. Agentic AI now lets the public query 750 years of history in plain language.
Teams manually screened hundreds of pages per deal. Now, they query filings to surface critical insights instantly.
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.