{"id":139551,"date":"2025-12-22T08:19:29","date_gmt":"2025-12-22T16:19:29","guid":{"rendered":"https:\/\/xira.com\/p\/2025\/12\/22\/guest-post-the-promise-of-ai-in-legal-has-landed-but-not-in-the-way-people-thought-it-would\/"},"modified":"2025-12-22T08:19:29","modified_gmt":"2025-12-22T16:19:29","slug":"guest-post-the-promise-of-ai-in-legal-has-landed-but-not-in-the-way-people-thought-it-would","status":"publish","type":"post","link":"https:\/\/xira.com\/p\/2025\/12\/22\/guest-post-the-promise-of-ai-in-legal-has-landed-but-not-in-the-way-people-thought-it-would\/","title":{"rendered":"Guest Post: The Promise of AI in Legal Has Landed, But Not in the Way People Thought It Would"},"content":{"rendered":"

Augment or empower? The new split in AI for legal. There are still no \u201cAI lawyers,\u201d no bots running matters end to end or standing up in court.\u00a0 What we\u2019re seeing instead is far more interesting: hundreds of focused solutions that chip away at specific problems. Taken together, they\u2019re quietly reshaping the way legal work [\u2026]<\/p>\n

Augment or empower? The new split in AI for legal.<\/em><\/b><\/p>\n

There are still no \u201cAI lawyers,\u201d no bots running matters end to end or standing up in court.\u00a0<\/p>\n

What we\u2019re seeing instead is far more interesting: hundreds of focused solutions that chip away at specific problems. Taken together, they\u2019re quietly reshaping the way legal work gets done.<\/p>\n

And there\u2019s a clear split emerging.<\/p>\n

Some tools are built to help lawyers do their day jobs better, acting as co-pilots that draft faster, summarize smarter, and make the day a little easier. Others are built to deliver work directly to clients or to the business through self-service tools.<\/p>\n

That split matters because it shapes who buys what, how those tools are built, and how much impact they really have.<\/p>\n

Two different incentives: law firms vs in-house teams<\/b><\/h3>\n

It\u2019s no surprise that most law firms are investing in co-pilots. Time-based billing rewards efficiency only up to a point. Tools like Harvey and Legora let lawyers do the same work faster without changing the business model too much.<\/p>\n

In-house teams, on the other hand, have different incentives. They\u2019re measured by impact, not billable hours. They\u2019re under constant pressure to scale, to say \u201cyes\u201d more often without burning out their team.<\/p>\n

That\u2019s why they\u2019re reaching for both types of tools: co-pilots that make their people more effective and self-service platforms that help the business help itself.<\/p>\n

This is where the real transformation is happening.<\/p>\n

Why trust, control and visibility matter<\/b><\/h3>\n

Self-service AI tools change the stakes.\u00a0<\/p>\n

When a lawyer uses a co-pilot, they can check the work before it goes out. But if a self-service tool is answering questions or generating contracts on behalf of legal, it\u2019s representing the function to the entire business. That\u2019s a whole different level of responsibility.\u00a0<\/p>\n

To make self-service viable, the AI has to be something legal and compliance teams can actually control. It needs to be accurate, transparent and explainable.<\/p>\n

In practice, that means designing for three things:<\/p>\n