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Everything You Should Know About AI Legal Tech

Percipient

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.

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Lawyer Tech Tips: Where Should You Put Technology Dollars in 2022?

Attorney at Work

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?

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Handout from “Ethical Implications of Generative AI for the Michigan Lawyer” Presentation

Dennis Kennedy

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.

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The Future of Legal Technology

Lawmatics

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.

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Maximize Your Marketing Impact with AI: A Strategic Guide for Law Firms

Clio

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.

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Technology for Lawyers: Empowering the Legal Profession in the Digital Age

CaseFox

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.

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Handout from “Ethical Implications of Generative AI for the Michigan Lawyer” Presentation

Legal Tech Monitor

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.

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