Lighthouse AI for Responsive
Combining the Power of TAR and AI
Increase document review speed and accuracy using technology assisted review powered by LLMs. Pairing TAR workflows with AI provides the scale today’s data volumes require without exponentially increasing cost. And smaller, more precise productions reduce the risk of inadvertent disclosure.
Lighthouse AI for Responsive
Combining the Power of TAR and AI
Increase document review speed and accuracy using technology assisted review powered by LLMs. Pairing TAR workflows with AI provides the scale today’s data volumes require without exponentially increasing cost. And smaller, more precise productions reduce the risk of inadvertent disclosure.
Lighthouse AI Results on Real Matters
Fewer Documents Produced Compared to Other Solutions
Documents Reviewed in 11 Weeks (76% Recall at 79% Precision)
Savings from 94% Review Reduction (85% Recall and Precision)
Bring responsive review efforts down to size using sophisticated language analysis. Lighthouse AI for Responsive uses LLMs to predict the responsiveness of a document with more accuracy than traditional TAR.
Lighthouse AI is used across a broad set of responsive analysis workflows. Whether your priority is speed, accuracy, or cost, our team will tailor one of our proven workflows for your needs.
Battle-Tested LLMs
We have been using Lighthouse AI to support responsive document review since 2019.
Flexible Workflows
Lighthouse AI can be used for cutoff or prioritization, and be combined with linguistic modeling.
Smaller Training Sets
Better language analysis means responsive model training takes less time and fewer training documents.
Familiar workflows such as TAR 1.0 and TAR 2.0 / CAL can be used, maintaining the familiarity of TAR while upgrading the algorithm for better, faster results. For more flexibility and customization, our teams can deploy AI-specific workflows and linguistic models that further tune responsive designations while maintaining defensibility.
What Our Pharma Clients Are Saying
Using Lighthouse AI proved to be a 10x improvement in precision compared to other analytics tools.
— CJ Mahoney, Counsel and Global Head of eDiscovery and Litigation Technology, Cleary Gottlieb
Lowering Risk Exposure During a Government Investigation
A global semiconductor manufacturing company turned to AI to meet tight timelines for a government investigation. A specialized TAR workflow powered by Lighthouse AI delivered highly accurate responsive classification, resulting in more than 500K (or 40%) fewer documents requiring further review and production to the DOJ, when compared to legacy TAR tools.
FAQs
Is Lighthouse AI for Responsive a GenAI-based solution?
At Lighthouse, we use both predictive and generative LLMs depending on the need. Our AI & Analytics consultants can help determine which model is the best to analyze for responsiveness for your matter.
What if I’m not ready for an overhaul of my processes?
It’s not necessary to do an overhaul to reap the benefits of using LLMs for the identification of responsive documents. Many clients begin by simply replacing older TAR algorithms in their cutoff of active learning workflows with Lighthouse AI.
How do LLMs improve traditional TAR approaches?
LLMs enhance review for responsiveness by understanding context, interpreting complex language, and adapting more flexibly than traditional machine learning. They can analyze nuanced meanings across multiple languages and document types with greater sophistication.
Get in Touch
Ready to see how Lighthouse can help you reduce risk and power eDiscovery efficiency? Fill out the form to connect with our team.
