Law Firm Technology

When a Software Bug Becomes a Legal Problem: What Businesses Should Know

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Article source: TestRigor.com A software bug can start as a technical problem and quickly become a business risk. A payment error may trigger customer disputes, a privacy flaw may expose sensitive data, and a failure in a regulated system may raise compliance concerns. Not every defect leads to legal consequences, but the risk increases when […]

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Legal AI – Can’t Work Without It: Why 15% of Big Law Attorneys Are Now Officially Dependent on AI

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According to fresh survey data from LexisNexis UK, 15% of lawyers at large commercial law firms now admit they are completely dependent on AI to carry out their daily legal work. The reliance is almost as pronounced in corporate legal departments, where 13% of in-house counsel report identical dependency.

Artificial intelligence in the legal sector has crossed the rubicon from experimental pilot project to standard operating equipment.

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Is This Hidden AI Prompt a New Problem for Lawyers?

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Lawyers and AI - Why worry?

Law firms’ AI problem is moving from contaminated outputs to contaminated inputs. A Connecticut court has sanctioned a self-represented litigant for hiding AI-directed instructions in court filings. The case serves as an early warning for law firms: when AI reads external documents, those documents may be trying to instruct the AI. Power Points: The Connecticut

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Kirkland’s $500 Million AI Bet Isn’t About Speed. It’s About Killing the Billable Hour

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Kirkland & Ellis, the first law firm in history to break $10 billion in revenue, is putting half a billion dollars of its own money into a proprietary AI platform. That’s a big bold move (what else would you expect from Kirklands?) which is not to keep up with Harvey or Legora, or to shave a few hours off due diligence. It’s something far more valuable.

The plan is to bottle the firm’s “collective intelligence” and put it in every lawyer’s hands and, in the process, lean hard into the long-predicted death of the billable hour.
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Why Law Firms Are Rethinking Emergency IT Support and Investing in Proactive IT Support

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Article source; Techmedics.com Your document management system goes dark at 4:15 p.m., ninety minutes before an e-filing deadline. Someone calls the emergency number, access comes back by six, and the filing goes out. Nobody asks why the storage volume filled up. Emergency support fixes the visible failure. Proactive support goes after the conditions that produced

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Safeguarding Legal Data in the Age of AI – Key Tips For Law Firms

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Scott Nicholson, Senior Product Manager, iManage.com As AI use accelerates across law firms, so does the concern over how to adopt it responsibly without risking confidentiality or compliance. According to a recent global research report surveying 3,000+ professional services organizations (including law firms), 85 percent of respondents are piloting AI in some form – while

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Meet James Sackl: The Deep-Tech Disruptor Forcing Big Law to Rethink Time

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Billable Hour on Life Support The billable hour is on life support, and artificial intelligence is holding the plug. A recent Deloitte Legal report found that 85 percent of industry insiders expect hourly billing to plummet within two years, which leaves firms clinging to outdated pricing models in an economically irrational spot. As Bloomberg Law

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Legal AI Unicorn Harvey Lands Major Backing from Goldman Sachs and JP Morgan

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Winston weinberg harvey on legalai at lawfuel

Artificial intelligence legal platform Harvey continues its aggressive expansion, announcing new investments from Wall Street heavyweights Goldman Sachs Alternatives and JP Morgan’s Growth Equity Partners. While the exact financial terms of this latest investment remain undisclosed, the backing comes hot on the heels of a massive $200 million funding round in March. T hat earlier

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The Kirklands vs. Latham AI Arms Race Sees Associates on the Front Line

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BiglawAIfight

Battle Moves From Hype to Burnout, Billing and Platforms Mega firms like Kirkland & Ellis and Latham & Watkins are turning their AI arms race into a battle pitching associates and the onset of AI into a knife-edge fight that directly challenges the 2000 hour grind, the traditional apprenticeship model and identifying what top-of-the-market salaries

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