Billable work now runs through AI. Deadlines don't move when it fails
Law firms and legal departments have adopted AI for research, drafting, document review, and due diligence at remarkable speed. Court deadlines, filing windows, and deal timelines are unforgiving — and practice groups have quietly rebuilt their throughput assumptions around AI assistance.
Where AI is embedded
How legal runs on AI today
- Legal research and case law summarization
- Contract drafting and review assistance
- Document review and due diligence
- Deposition and transcript summarization
- Client communication drafting
Sector-specific risk
What makes resilience harder here
Deadlines are jurisdictional, not operational
A filing deadline doesn't extend because your research assistant was down. High-stakes practice groups need defined degraded modes and failover paths for deadline-critical work.
Confidentiality constrains provider choice
Privilege and client confidentiality obligations limit which failover providers are acceptable. Failover design must respect outside counsel guidelines and engagement terms.
Knowledge assets live in vendor platforms
Firm precedents and work product embedded in AI platforms create a lock-in and recovery problem: what's your exit and continuity plan for the knowledge layer itself?
The regulatory picture
Model Rules on competence and confidentiality, outside counsel guidelines, and client audit requirements increasingly require firms to demonstrate control over the AI tools that touch client matters.
Assess your legal AI estate
The AIR Assessment maps your AI dependencies against sector-specific failure modes and regulatory expectations — in 3 to 6 weeks.