Attorney bios are read by people, but often before that happens, they are parsed, ranked, summarized and compared by machines. Bios have become an essential source of data and content for AI-enabled technology, and their quality, structure and content impact which lawyers — and firms — get surfaced, promoted and, ultimately, hired.
The firms that will thrive when it comes to the adoption of AI will not be those with the most tools or the most prompts. They will be the ones with clear standards, defined human ownership and a dedicated AI partner able to turn raw generation into reliable, high‑value content.
Despite incredible progress in natural-language reasoning, AI tools still face fundamental limitations when it comes to performing even basic trademark searches. Here are five important reasons why.
Artificial intelligence is changing how legal work is performed. What’s needed is problem-solving optimism, a clinical appraisal of the firm’s capabilities and economic position, and earnest resolve to change before market pressure forces change under duress.
The ethical use of AI should be a prerequisite for the integration of AI into a legal practice. Failure to learn and implement transparency, accountability, and best practices for responsible AI usage prior to employing AI will likely result in ethical and malpractice difficulties.
Artwork created entirely by artificial intelligence without any human involvement does not qualify for copyright protection, lawyers for the U.S. Copyright Office told the U.S. Supreme Court in a filing in in late January.
Newly amended California legislation would set statutory guardrails for attorneys who use generative artificial intelligence to draft legal filings. Senate Bill 574 would codify many of the guidelines for AI use finalized by the state bar’s Committee on Professional Responsibility and Conduct in 2023.
Artificial intelligence-related disputes have surged to become the top litigation concern for in-house legal teams, displacing intellectual property and breach-of-contract issues.
Organizations are buying technology but failing at transformation. The difference between the 48% that succeed and the 52% that don’t isn’t the software. It’s how they manage the human side of change.
The firms that will thrive when it comes to the adoption of AI will not be those with the most tools or the most prompts. They will be the ones with clear standards, defined human ownership and a dedicated AI partner able to turn raw generation into reliable, high‑value content.
