by team | Jul 20, 2026 | Sources Cited
Sources Cited Preparing Legal Data for AI: Cleanup, Metadata, Permissions, and Governance ILTA treats AI readiness as an information-governance decision: document cleanup, metadata, taxonomy, security, permissions, source quality, and ongoing corpus maintenance...
by team | Jul 20, 2026 | Sources Cited
Sources Cited AI-Enabled Law Firms Must Rethink Lawyer Development and Business Models The article connects AI adoption to junior-lawyer training, validation skills, staffing, leverage, pricing, and the need to preserve distinctly human legal judgment. Educational...
by team | Jul 20, 2026 | Sources Cited
Sources Cited The AI Value Divide: Clients Want Efficiency, Transparency, and Fair Pricing The analysis describes tension between clients seeking AI-enabled efficiency and transparency and firms trying to price, measure, and capture the value of technology investment....
by team | Jul 20, 2026 | Sources Cited
Sources Cited Ten AI Questions Clients Will Ask Outside Counsel The ACC resource gives in-house teams a due-diligence structure for evaluating outside counsel's approved tools, data handling, human review, governance, records, incident readiness, and value....
by team | Jul 20, 2026 | Sources Cited
Sources Cited ACC Outside-Counsel AI Guidelines: Disclosure, Security, Accuracy, Performance ACC's public resource describes sample outside-counsel AI guidelines addressing disclosure, data security, accuracy, and performance expectations. Educational summary...
