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.
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
Legal teams manually reviewed thousands of multilingual contracts. AI now drafts patent claims and harmonizes terms, saving 3 hours weekly.
Tax filings consumed three days for the 10-person team. Using custom GPTs, they now complete these complex responses in hours.
Every HCP response required manually searching regulated literature. Now agents surface cited answers from 3,100+ medical documents.
Every update meant re-recording across five teams. Now a script upload produces multilingual medical video without a single studio session.
Manual reviews of massive contracts bottlenecked cash flow. Now, lawyers use embedded AI agents to dissect agreements and accelerate deals.
A lean legal team spanning three continents sent its hardest work — M&A diligence, disputes — to outside firms. Harvey brought it home.
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.
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
Legal teams manually reviewed thousands of multilingual contracts. AI now drafts patent claims and harmonizes terms, saving 3 hours weekly.
Tax filings consumed three days for the 10-person team. Using custom GPTs, they now complete these complex responses in hours.
Every HCP response required manually searching regulated literature. Now agents surface cited answers from 3,100+ medical documents.
Every update meant re-recording across five teams. Now a script upload produces multilingual medical video without a single studio session.
Manual reviews of massive contracts bottlenecked cash flow. Now, lawyers use embedded AI agents to dissect agreements and accelerate deals.
A lean legal team spanning three continents sent its hardest work — M&A diligence, disputes — to outside firms. Harvey brought it home.