Electronic lab notebooks (ELNs) that only record experiments create a vacuum scientists fill on their own. Data from 150 professionals across pharma and biopharma settings reveals a widespread pattern: when an ELN can't interpret data, scientists seek AI tools elsewhere—often through personal accounts outside IT governance.
This report examines the technological shift from passive ELNs toward embedding AI as an active research partner. It provides peer benchmarking data on workflow efficiency and compliance risk, showing strategies that reduce friction and those that increase exposure. Lab managers can use these findings to evaluate their current approach and build cases for modernization.
Download the report to:
- Quantify the productivity gap caused by repeated experiments, manual data movement, and IT dependency
- Use the Strategic Checklist to transition from a passive filing cabinet to an AI lab notebook (AILN)
- Compare ELN satisfaction scores and shadow AI prevalence across R&D, manufacturing, and CRO sectors
- Evaluate the three-stage maturity framework to identify where your lab sits on the path to AI integration
