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AI Roadmap Survey Results
From Tools to Transformation: Building an AI Roadmap We surveyed legal teams to better understand how organizations are approaching AI and where they’re seeing real progress vs challenges. The results are in. In our survey report, we break down: Where mandates are emerging and where they aren’t How many teams are still…
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AI Roadmap Infographic: Q1 2026 Survey Results
We surveyed legal teams on their AI roadmap and the results are in. While AI continues to dominate headlines, adoption inside organizations is still taking shape. Most teams are still operationalizing, rather than scaling or optimizing. Highlights include: AI mandates are emerging: 70% of teams now mandate AI use…
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OpenAI releases new study
OpenAI recently introduced GDPval which evaluates how well AI performs on real-world, economically valuable tasks across 44 occupations, including legal. GDPval examines the work professionals do every day, from drafting legal briefs to analyzing compliance documents. ➡️ Watch on LinkedIn How GDPval Works OpenAI designed…
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MIT Says 95 Percent of Generative AI Pilots Fail. What Legal Can Learn.
MIT grabbed headlines recently by reporting that 95 percent of Generative AI pilots never drive measurable results, with only 5 percent of projects achieving real scale. Every stalled pilot drains budget, slows transformation, builds opposition, and piles pressure on legal ops leaders to prove ROI. Below, we examine what…
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Better Call GPT: The Future of Contract Review Starts Now
Better Call GPT: The Future of Contract Review Starts NowHow well do Large Language Models (LLMs) really perform when it comes to contract review? At Onit’s AI Center of Excellence, we decided to find out. In our latest white paper, “Better Call GPT,” we put leading AI models head-to-head with human legal reviewers to…
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Better Bill GPT: Comparing Large Language Models against Legal Invoice Reviewers
Every invoice that lands on a reviewer’s desk is a quiet drain on legal resources – and there are thousands of them. At Onit’s AI Center of Excellence we ask an important question: Can Large Language Models (LLMs) outperform human professionals in legal invoice processing? The answer turned out to be more decisive than…
