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.
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.
Scientists lost 25% of their time to manual transcription. AI agents now automate entry and checks, freeing teams for discovery.
Teams waited weeks for agencies or used unvetted tools. Secure AI now translates full documents in 2 minutes.
Search data kept in RAM required unsustainable hardware. A managed vector DB slashed costs and freed engineers to build AI agents.
Lawyers spent days reviewing hundreds of rulings. Now, AI scans 4.8M docs to draft citable opinions instantly.
Manual scheduling trapped recruiters in logistics. AI now automates interview coordination, freeing teams for strategic work.
Teams reactively managed trials across scattered systems. AI now integrates data to predict bottlenecks and recommend interventions.
Opaque AI flags forced counsel to manually re-read documents. Now, generative AI cites its reasoning to accelerate final decisions.
Broad keyword searches buried teams in irrelevant files. Now, AI scores 40k documents and extracts key facts to focus expert reviewers.
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.
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.
Scientists lost 25% of their time to manual transcription. AI agents now automate entry and checks, freeing teams for discovery.
Teams waited weeks for agencies or used unvetted tools. Secure AI now translates full documents in 2 minutes.
Search data kept in RAM required unsustainable hardware. A managed vector DB slashed costs and freed engineers to build AI agents.
Lawyers spent days reviewing hundreds of rulings. Now, AI scans 4.8M docs to draft citable opinions instantly.
Manual scheduling trapped recruiters in logistics. AI now automates interview coordination, freeing teams for strategic work.
Teams reactively managed trials across scattered systems. AI now integrates data to predict bottlenecks and recommend interventions.
Opaque AI flags forced counsel to manually re-read documents. Now, generative AI cites its reasoning to accelerate final decisions.
Broad keyword searches buried teams in irrelevant files. Now, AI scores 40k documents and extracts key facts to focus expert reviewers.