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.”
Ministry of Economy and Finance (France)'s Legal document processing is part of this use case:
French government ministry for economic policy, public finance, and industry.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Developed the DeepBrain multi-agent platform and integrated LLMs for the Ministry's AI workloads.
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%.
Conflicting job titles slowed agency collaboration. AI now maps natural language descriptions to standardized profiles instantly.
Consultants spent hours trawling documents. AI agents now synthesize scattered data into cited briefings in 8 seconds.
Deciphering 6M lines of 1970s code delayed modernization. Now, AI translates legacy logic into plain English for IT teams to validate.
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.
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.”
Ministry of Economy and Finance (France)'s Legal document processing is part of this use case:
French government ministry for economic policy, public finance, and industry.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Developed the DeepBrain multi-agent platform and integrated LLMs for the Ministry's AI workloads.
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%.
Conflicting job titles slowed agency collaboration. AI now maps natural language descriptions to standardized profiles instantly.
Consultants spent hours trawling documents. AI agents now synthesize scattered data into cited briefings in 8 seconds.
Deciphering 6M lines of 1970s code delayed modernization. Now, AI translates legacy logic into plain English for IT teams to validate.
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.