Sep 23, 2026
Most firms treat AI adoption as a software problem. It's a change management problem, and the fixes that work are small and unglamorous, not a better tool.
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Sep 22, 2026
The average lawyer works across eight-plus disconnected tools per matter, holding the connections between them in memory alone.
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Sep 21, 2026
Legal teams have always met more documents with people. AI lets a lawyer ask one question across an entire document set instead of dividing up the reading.
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Sep 20, 2026
Kirkland is spending half a billion on its own AI; Ropes & Gray is buying instead. Either way, the real edge is knowledge, structure and adoption.
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Sep 19, 2026
AI is cutting hours off tasks clients can see for themselves. Firms are already choosing between repricing the work, absorbing the gain, or expanding scope.
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Sep 18, 2026
For Indian legal work, the harder problem is often just reading the document: handwritten, multilingual, stamped over, and photocopied more than once.
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Sep 17, 2026
Context engineering assumes a firm already has clean document management. Most Indian firms don't, so this looks at making AI useful without that first.
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Sep 16, 2026
Reconstructing a negotiation from eleven versions of an agreement is reconstruction work, not legal work. A structured redline changes what you can ask of it.
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Sep 15, 2026
As AI moves from single questions to full workflows, seat-based pricing stops making sense. What firms should understand about usage-based cost before adoption.
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Sep 14, 2026
Pulling filings, checking charges, matching entities - none of it needs a lawyer, but all of it blocks one. What changes once that retrieval work is automated.
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Sep 12, 2026
Clients used to ask whether a firm used AI. Now they're asking where their data goes, whether it trains a model, and who can access it, and firms need a straight answer.
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Learn why document intelligence is becoming essential for modern legal teams.
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