Attorneys juggled fragmented tools to search 50,000 cases. An AI orchestrator now routes queries to sub-agents in a single chat.
One of the world's largest biotech companies requires exhaustive legal research across roughly 50,000 cases from the European Patent Office to defend its intellectual property.
Attorneys spent hours on manual keyword searches that often missed relevant precedents, while a subsequent rollout of isolated AI tools created a...
“Evaluating different prompts and estimating token costs using/comparing different LLMs was easy on the Dataiku platform.”
Biopharmaceutical and diagnostic solutions for healthcare and drug development.
AI and machine learning platform for enterprise data science and analytics.
Roche's Patent research is part of this use case:
Related implementations across industries and use cases
Legal teams manually reviewed thousands of multilingual contracts. AI now drafts patent claims and harmonizes terms, saving 3 hours weekly.
Teams waited weeks for agencies or used unvetted tools. Secure AI now translates full documents in 2 minutes.
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Legal teams manually reviewed thousands of multilingual contracts. AI now drafts patent claims and harmonizes terms, saving 3 hours weekly.
Lawyers lost weeks to nonbillable research. Now, AI scans 2,500 docs to cut research time by 60%, saving $2M in unplanned losses.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.
Manual scheduling trapped recruiters in logistics. AI now automates interview coordination, freeing teams for strategic work.
Manual entry bottlenecked service contracts. Now, AI extracts handwritten text and validates against SAP, routing deviations to humans.
Clause reviews took an hour. AI now finishes them in minutes, saving lawyers 6 hours a week for strategic work.
Attorneys juggled fragmented tools to search 50,000 cases. An AI orchestrator now routes queries to sub-agents in a single chat.
One of the world's largest biotech companies requires exhaustive legal research across roughly 50,000 cases from the European Patent Office to defend its intellectual property.
Attorneys spent hours on manual keyword searches that often missed relevant precedents, while a subsequent rollout of isolated AI tools created a...
“Evaluating different prompts and estimating token costs using/comparing different LLMs was easy on the Dataiku platform.”
Biopharmaceutical and diagnostic solutions for healthcare and drug development.
AI and machine learning platform for enterprise data science and analytics.
Roche's Patent research is part of this use case:
Related implementations across industries and use cases
Legal teams manually reviewed thousands of multilingual contracts. AI now drafts patent claims and harmonizes terms, saving 3 hours weekly.
Teams waited weeks for agencies or used unvetted tools. Secure AI now translates full documents in 2 minutes.
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Legal teams manually reviewed thousands of multilingual contracts. AI now drafts patent claims and harmonizes terms, saving 3 hours weekly.
Lawyers lost weeks to nonbillable research. Now, AI scans 2,500 docs to cut research time by 60%, saving $2M in unplanned losses.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.
Manual scheduling trapped recruiters in logistics. AI now automates interview coordination, freeing teams for strategic work.
Manual entry bottlenecked service contracts. Now, AI extracts handwritten text and validates against SAP, routing deviations to humans.
Clause reviews took an hour. AI now finishes them in minutes, saving lawyers 6 hours a week for strategic work.