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.

Legal tech 52

Legal tech Legal tech Machine learning e-discovery 52

Attorney at Work

JANUARY 7, 2022

Using a CRM can save time by eliminating redundancies such as entering the same information in multiple places for client intake versus client billing. If you are a Clio user, investigate Clio Grow, which allows you to automate your intake process, schedule consults and accept payments online. What tool to choose?

Lawyer 122

Lawyer e-filing Software Practice management 122

Dennis Kennedy

DECEMBER 14, 2023

It is based on advanced machine learning models that learn patterns from vast amounts of data and can produce novel outputs based on that learning. How might AI impact the client intake process? However, a human touch remains essential to understand client needs fully.

Lawyer 85

Lawyer Due diligence Client Intake Mediator 85

Lawmatics

DECEMBER 27, 2023

With emerging new technologies like artificial intelligence (AI) and machine learning, many people have started considering what legal software might mean for the legal profession’s future. 5 Generative AI Generative AI is a tool that is still in its infancy, and consequently, the more we learn, the more there is to understand.

Legal technology 52

Legal technology Legal technology Dispute resolution Machine learning 52

Clio

OCTOBER 1, 2024

Learn more about how Clio Duo can help your law firm. AI marketing refers to using AI tools and techniques, such as machine learning or natural language processing, to improve the efficiency and effectiveness of marketing strategies. Clio Duo , Clio’s proprietary generative AI legal technology, is coming soon to Clio Manage.

Law firm 59

Law firm Law Law Client Intake 59

CaseFox

JULY 25, 2023

Through machine learning algorithms, e-discovery platforms can quickly identify patterns and connections in data. These platforms streamline administrative tasks, such as timekeeping, billing, client intake, and calendaring. This assists legal teams in building stronger cases.

e-discovery 52

e-discovery e-filing Lawyer Intellectual Property 52

Legal Tech Monitor

DECEMBER 14, 2023

It is based on advanced machine learning models that learn patterns from vast amounts of data and can produce novel outputs based on that learning. How might AI impact the client intake process? However, a human touch remains essential to understand client needs fully.

Lawyer 52

Lawyer Due diligence Client Intake Mediator 52