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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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OpenText named a Leader and Outperformer in the GigaOm Radar for E-Discovery

OpenText

How do decision-makers make an informed investment decision? Why OpenText should be on your eDiscovery shortlist Analysis, review and automation OpenText’s eDiscovery solutions have a long history of incorporating advanced analytics and machine learning to dramatically improve review efficiency and lower costs. According

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Conflict Checking in 2025: How Legal Teams Avoid Ethical Disasters

MatterSuite

You worry about compliance gaps in your current process. Uphold Ethical Standards and Professional Integrity Conflict checks ensure strict compliance with legal ethics rules , preventing attorneys from engaging in representation that compromises loyalty or creates divided interests. What is conflict checking in Legal Practice?

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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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AI Contract Analysis: Here’s How You Optimize Your Workflow

Percipient

It works by applying natural language processing (NLP) to understand legal language and machine learning to improve accuracy over time. This means businesses can quickly spot missing clauses, track renewal dates, and ensure compliance without drowning in paperwork. Machine Learning for Smarter Analysis AI gets better over time.

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CPPA Proposed Rulemaking Package Part 2 – Automated Decision-Making Technology

Debevoise Data Blog

The Draft Regulations define ADMT as any technology that processes personal information and uses computation to execute a decision, replace human decisionmaking, or substantially facilitate human decisionmaking. This includes using biometric information, vocal intonation, facial expression, and gesture ( g. ,

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Why Your Legal Team Deserves Better Tools in 2025

MatterSuite

Here’s why 2025 demands a tech upgrade and how MatterSuite provides the solutions: Outdated tools are equivalent to slow operations Many legal teams still rely on older generational software (or, worse, paper-heavy processes) for tasks like contract management, discovery, and compliance tracking. These tools also help avoid costly errors.