Court e-filing Machine learning 
Percipient
JANUARY 20, 2025
Machine Learning Machine learning helps AI get smarter and more effective over time by learning from historical data. For instance, machine learning can predict litigation risks based on similar cases, identify trends that might impact a client, or flag unusual clauses in contracts that might need extra attention.
Percipient
FEBRUARY 5, 2025
Sorting through thousands of files manually can take weeks or even months, which often leaves legal teams stretched thin and weighed down by repetitive tasks. While its often used in litigation, its just as useful for managing contracts and handling other legal tasks outside of court cases.
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Law Technology Today
APRIL 13, 2023
Public access to court data through automated collection of online court records is a fundamental First Amendment right and it is critical to meaningful access to the United States legal system. The recent ruling in South Carolina State Conference of the NAACP v.
Legal Talk Network
AUGUST 15, 2023
Litigation Radio’s Aug 15, 2023 episode discusses how litigation firms are already using AI and the prompt nuances for stronger e-discovery: Litigation Radio AI, The Law, And Your Firm: What You Need To Know Today Your user agent does not support the HTML5 Audio element. It takes more than just pushing a button to get a usable document.
CaseFox
JULY 25, 2023
Legal Research and Data Analytics: Gone are the days of poring over endless law books and case files in dusty libraries. Cloud-based storage solutions offer secure and scalable platforms for storing sensitive client data, case files, and legal documents. This enables attorneys to work together in real-time on documents and case files.
LawSites
JANUARY 23, 2023
With one click, lawyers can securely send files to a shared exhibit portal where all participants are updated instantly. In the background, the system marks the exhibits, appropriately updates filenames, applies electronic stamps, and organizes your files. Easily export the summary to MS Word for the case file.
Percipient
JUNE 23, 2022
Models can be trained by a human reviewer who codes files to improve the accuracy of a model. In e-discovery, models can be tailored to a dataset such as Continuous Active Learning (CAL). For example, the identification of documents and files containing social security numbers or credit card numbers.
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