by team | Jul 20, 2026 | Sources Cited
Sources Cited Epiq and DeepJudge: Institutional Knowledge Becomes AI Infrastructure The collaboration illustrates market demand for permission-aware AI that retrieves and reasons over law-firm institutional knowledge rather than relying only on general information....
by team | Jul 20, 2026 | Sources Cited
Sources Cited From AI Tools to AI Teammates: What Agentic Legal Work Requires The article frames AI agents as emerging legal teammates that depend on structured firm knowledge, matter context, workflow boundaries, governance, and human oversight. Educational summary...
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....
