Source: eDiscovery Today

The eDiscovery Today blog provides an extensive list of 30 distinct use cases for artificial intelligence within the legal profession, illustrating the technology's transformative potential across various aspects of legal work. The applications range from foundational eDiscovery tasks to more advanced analytical functions. In litigation, AI is instrumental in Technology Assisted Review (TAR) for identifying relevant documents, conducting sentiment analysis to gauge the tone of communications, and identifying privileged information to prevent inadvertent disclosure. The list also includes using AI for deposition analysis, where it can quickly summarize transcripts and identify key themes or contradictions.

Beyond litigation support, the article explores AI's role in contract lifecycle management, where it can analyze thousands of agreements to identify non-standard clauses, assess risks, and ensure compliance. Other notable use cases include legal research, where AI can find more relevant precedents than traditional keyword searches; case outcome prediction, which models a lawsuit's likely success based on historical data; and even jury selection, by analyzing juror sentiments from public data. The post emphasizes that for each use case, adopting best practices is crucial. This includes ensuring data quality, maintaining human oversight to validate AI outputs, and addressing ethical considerations such as bias and confidentiality to responsibly leverage AI's power.