The push for corporations to reduce legal expenditures is growing rapidly. In response, many legal teams are adopting similar strategies.
Many are turning to artificial intelligence solutions—adopting tools at an accelerated pace with the expectation of savings. However, just because a system is “AI-first” does not guarantee it will lead to savings.
The effectiveness of AI relies heavily on the quality of data it processes. While automation can streamline reviews and highlight potential issues, it is not a substitute for human accountability. The responsibility for strategic decisions still lies with legal experts, who must use quality data and sound judgment to ensure real-world applicability.
Join Juristat CEO Lauren Bonner and LegalBillReview.com President Ryan Loro on Wednesday, March 25, at 12:00 PM EST for an insightful discussion on achieving genuine savings without risking your budget on opaque outputs.
This is not a session about AI replacing your team; rather, it is a conversation focused on constructing a defendable AI program that can be measured and refined. Topics will include:
- Why programs focused exclusively on AI-driven patent spending often yield less-than-ideal results, even with robust adoption
- The critical role of data quality in determining AI effectiveness, including what constitutes “good inputs” in patent workflows
- Identifying the areas where automation provides the most benefit, and where human oversight remains essential
- How attorney-led bill reviews—enhanced by technology—can generate savings while maintaining strong relationships with firms
- A practical framework for evaluating vendors, validating AI claims, and implementing tools without introducing additional risks
If you are part of an in-house legal team striving to reduce outside counsel expenses while simultaneously integrating AI solutions, this session will provide you with insightful strategies for selecting effective tools, managing expectations, and achieving measurable savings.
