Credit: Adobe Stock No Crystal Ball Needed: Predicting Litigation Outcomes Through Data Analytics
The use of data analytics in legal processes is no longer optional, but crucial as it advances. With these tools at their disposal, lawyers can approach litigation with a data-driven strategy, rather than relying just on luck and hours of manual review.
May 08, 2024 at 12:34 PM
5 minute read
Big Data
Advancements in technology and AI have led to data analytics becoming an indispensable part of most services and industries. The legal industry has not been untouched by this, and law firms, governments and alternative legal service providers have also started utilizing data analytics to predict outcomes with remarkable results. In litigation, analytics is able to provide deep insights not previously possible during initial phases. Machine learning and AI are able to mitigate the challenges of information volume and unstructured data as they process and learn from masses of data in fractions of seconds and equip attorneys with the desired details needed to proceed.
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