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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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Voting Is Closed, Results Are In: Here are the 15 Legal Tech Startups Selected for the 2025 Startup Alley at ABA TECHSHOW

ABA TECHSHOW

From all the entries we received, a panel of judges narrowed the applications down to 26, which we posted on Jan. Using Large Language Models and Geometric Machine Learning, our platform forecasts litigation outcomes at scale. All 15 also get to exhibit in a special Startup Alley portion of the TECHSHOW exhibit hall.

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7 Best Legal AI Tools or Applications for In-House Legal Teams

MatterSuite

Imagine a world where your in-house legal team can predict litigation outcomes, automate tedious document reviews, and ensure compliance with evolving regulations—all while cutting costs and boosting efficiency. These platforms use AI to analyze contracts, identify risks, and ensure compliance.

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7 Best Legal AI Tools or Applications for In-House Legal Teams

MatterSuite

Imagine a world where your in-house legal team can predict litigation outcomes, automate tedious document reviews, and ensure compliance with evolving regulations—all while cutting costs and boosting efficiency. These platforms use AI to analyze contracts, identify risks, and ensure compliance.

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Legal AI Tools

Lawmatics

Contract analysis: AI technologies, including natural language processing (NLP) and machine learning, are used to analyze and review contracts to identify key terms and potential risks and help ensure compliance. AI helps automate and accelerate the e-discovery process by quickly sorting through large datasets.

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Navigating Rapid Change: How AI Empowers Legal Teams to Stay Ahead

MatterSuite

Analyzing past cases and judge behavior allows legal teams to make informed decisions on litigation, settlement, or alternative dispute resolution. AI-powered document review platforms use advanced machine learning algorithms to categorize, tag, and prioritize documents based on relevance and context.

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Josh Blandi

Colin S. Levy

Josh Blandi is the CEO and Co-Founder of UniCourt , a SaaS offering using machine learning to disrupt the way court data is organized, accessed, and used. We see huge potential in creating a legal ecosystem that runs off our Legal Data APIs and powers the next generation of applications, products, and services.