Remove Compliance Remove Dispute resolution Remove Machine learning
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Data Literacy: A Critical Skill for Legal Professionals

Colin S. Levy

Legal teams are no longer just advisors on regulatory compliance or dispute resolution—they are now key players in data governance, risk management, and strategic decision-making. This involves more than just skimming through compliance dashboards; it requires diving into how data is collected, processed, and stored.

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Voting Is Open! Pick the 15 Finalists to Compete At Startup Alley at ABA TECHSHOW 2024 in February

Above the Law - Technology

Next, we plan to expand the product’s scope to cover more aspects of the litigation process, to improve the machine learning summarization model, and to develop visualizations of evidence based on the data present in the chronology. Finally, we plan to build integrations with e-discovery and practice management products.

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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

Canotera Canotera provides AI-powered predictive analytics for legal disputes, bringing transparency and efficiency to the legal industry. Using Large Language Models and Geometric Machine Learning, our platform forecasts litigation outcomes at scale. Our mission: to predict legal dispute outcomes in a clear and impactful way.

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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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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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Time to Vote: You Get to Pick the Startup Alley Finalists for ABA TECHSHOW 2022

LawSites

How we’re unique: Starting from basic marketplace, Amazon+Uber for lawyers, approach, AppearMe is implementing machine learning to automate routine legal work, minimize errors and missed deadlines by targeting the $65B litigation support market and offering free case management tools (a $1.1B Founded: 11/11/2019.

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European Data Protection Roundup – May 2023

Debevoise Data Blog

Automated decision-making: Businesses that utilise automated decision-making processes, including on the basis of AI, should be aware of the additional GDPR compliance and transparency requirements surrounding the use of these tools. Following the EDPB’s binding dispute resolution decision, the DPC fined Meta €1.2