Law firms are exploring AI agents for contract work and client-specific tasks, but adoption is running into lawyer fatigue, unpredictable costs and a question of how junior staff learn their craft. The Information’s interviews show that rolling out agents is as much an organisational challenge as a technical one.
Watch Desk analysis
What happened
Ironclad’s Sunita Verma says some clients use AI agents to handle non-disclosure agreements, freeing lawyers for more strategic deals. She says that has allowed some firms to bring work previously sent to external providers in-house. At White & Case, Isabel Parker says lawyers are comfortable with basic uses such as summarising documents, but many remain resistant to a broader rollout of agents.
Parker describes client-specific “skills” that capture preferences such as tone and who should be included in communications. Legora’s Jillian Burnett says firms need focused training and governance to make new tools useful, and to prevent a flood of employee-created skills from becoming noise. The Information also reports that firms are grappling with hard-to-predict consumption-based pricing. White & Case and Ironclad say they are preserving opportunities for junior staff to learn rather than automating every task.
Why it matters
The practical case for legal agents is not simply that they can draft or summarise. It is that they may shift routine work in-house, preserve useful client knowledge and give lawyers more time for complex matters. But those gains depend on people adopting the tools, firms controlling what gets standardised and finance teams being able to forecast the bill.
There is a longer-term trade-off, too. If routine work is where new lawyers learn judgement, automating it indiscriminately could make today’s efficiency look rather less efficient tomorrow.
Our read
The promising part is the focus on real workflows, not another chatbot with a legal-shaped hat. The sensible lesson is to start with bounded tasks, train people around work they actually do and measure the results. Firms should treat skills governance and usage costs as part of the product, not admin to tidy up later.
What to watch
- Whether firms publish measurable results for agent-led legal work, including quality and risk, not just time saved.
- How vendors help customers forecast consumption-based charges.
- Whether firms can expand automation without narrowing the work through which junior lawyers develop judgement.
Discussion spark: Should law firms automate routine legal work if that is also where junior lawyers learn professional judgement?
Sources and evidence
- How agentic AI raises the bar for law firms (9 November 2026, 21:55 UTC)
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