MatterSuite

JULY 29, 2023

Leveraging legal technology has become essential for enterprise legal departments seeking to enhance efficiency in today’s digital age. By automating routine tasks and ensuring compliance, legal technology empowers legal professionals to focus on high-value work.

Legal technology 52

Legal technology Legal technology Contract management Time-tracking 52

Lawmatics

NOVEMBER 7, 2023

Legal research. AI helps legal professionals find relevant case law, statutes, and precedents by searching and summarizing vast legal databases. Data analytics. AI-powered data analytics tools provide insights by tracking and analyzing the results of campaigns with built-in analytics and reporting tools.

Client Intake 59

Client Intake Due diligence Legal advice Analytics 59

MatterSuite

OCTOBER 27, 2023

Here are some of the key technologies shaping the legal industry: Artificial Intelligence (AI) and Machine Learning Legal Research: AI-powered platforms, like ROSS, use natural language processing (NLP) and machine learning. Predictive Analytics: Machine learning algorithms examine historical case data to predict legal outcomes.

Legal tech 52

Legal tech Legal tech e-discovery Machine learning 52

Percipient

JANUARY 20, 2025

Predictive Analytics Predictive analytics revolves around using data to make smart guesses about what might happen next. Its also super handy for spotting legal risks early, especially in compliance, so you can deal with issues before they get out of hand.

Legal tech 52

Legal tech Legal tech Machine learning e-discovery 52

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. Technology has revolutionized legal research, making it faster and more efficient. Online legal databases and research platforms provide lawyers with access to a vast repository of legal resources.

e-discovery 52

e-discovery e-filing Lawyer Intellectual Property 52

MatterSuite

JUNE 26, 2024

This capability is beneficial in the due diligence stage, legal discovery , and compliance reviews, where tons of data require proper and swift analysis. Such goals might be cutting the time spent on document review in half, enhancing the accuracy of the contracts’ analysis, or enhancing the monitoring of compliance.

e-discovery 52

e-discovery Legal research Due diligence Machine learning 52