Legal teams are under immense pressure with complex investigations and legal matters, skyrocketing data volumes and increasingly sophisticated legal strategies. In response, the legal tech industry has been trying to keep up with the growing size and complexity of eDiscovery and Document Review.
The once theoretical applications of GenAI are now becoming practical realities, and how they are used in aid of Document Review is of growing interest for practitioners. Get a head start by diving into our vital insights.
1) GenAI can be used as a classifier
Gen AI tools can be used as classifiers for legal document review in the same ways that TAR tools and CAL tools are used: acceleration of human review, reducing the amount of human review needed, replacing human review and quality control of human review.
2) GenAI can tell you why
GenAI tools may offer dramatic increases in speed, efficiency and quality like TAR and CAL tools. But something GenAI can do that its predecessors can’t is provide explanations for its rationale and evidence for its classifications excerpted from the documents.
3) Expertise is needed for Generative AI-assisted review (GAR)
Like leveraging TAR workflows, leveraging GAR workflows requires expertise in review management and in the relevant legal domain. But it also requires new expertise in iterative prompting for GenAI, which works differently than prior technologies.
4) The GAR process can be validated in the same way as TAR processes
The results of a GAR process can be validated in the same ways as the results of TAR processes can, by leveraging judgmental and formal sampling, including control sets and elusion testing when needed.