The newest ILTACON coverage points to a shift that matters for every professional-services firm: the conversation is no longer just about which AI product looks best on a stage. It is about how AI fits into real work, how it stays consistent over time, and how firms keep control as tools become more central to daily practice.
ILTACON's message: AI is becoming part of the work, not just the pitch
Artificial Lawyer's ILTACON Day Two briefing describes an event where the loudest marketing is happening around legal AI platforms, while the more useful conversations are about people and the AI now doing real work inside the firm.
For firm leaders, that is the important signal. The market is moving past generic chatbot demos and toward custom workflows that support drafting, review, intake, and knowledge work in a way that fits how the firm actually operates.
Why centrality matters for custom AI and agentic workflows
The Gemini for Legal article frames a larger competitive issue: whoever becomes the central place where lawyers work can shape which tools get used and how work flows through the firm. That applies beyond large enterprise platforms. Any custom AI system that sits inside a firm's daily workflow can become the hub for task routing, document access, and approved next steps.
For professional-services firms, the practical lesson is to design AI around the work location and the workflow, not around a standalone novelty tool. If the system helps people move from question to action without losing control, it has a better chance of adoption.
Consistency and supervision are now the real AI risks
The consistency article makes a point every managing partner and operations leader should hear: a model may produce a good answer today, but the harder question is whether it produces the same answer later, after updates, staff changes, or regulatory scrutiny.
That is why custom AI needs evaluation, review, and clear responsibility. A workflow is only useful if the firm can explain how it works, verify its outputs, and keep human oversight in the loop when confidence drops.
Build workflows that speed work without handing away judgment
Monjur's workflow for contract work is a useful example of the direction firms should look. The platform keeps contracts current, offers attorney-approved redline alternatives, and uses AI to answer contract questions with attorney-in-the-loop escalation when needed.
That pattern maps well to law and accounting firms more broadly. The best automation does not replace judgment; it reduces routine friction, standardizes approved options, and lets professionals spend more time on exceptions, negotiation, and advice.
Governance is becoming part of the product decision
The California SB 574 discussion shows that AI use in legal practice is being pulled into more explicit governance and regulatory conversations, including verification, sensitive data handling, and concerns about delegating legal work to generative AI.
For firms choosing custom AI or agentic workflows, this means the buying decision is also a governance decision. Leaders should ask where human review happens, what data the tool can touch, how outputs are checked, and what happens when the model changes.
- Choose AI workflows that fit into real work, not side tools that sit outside the firm's operating model.
- Build in human review, escalation, and output checking from the start.
- Treat consistency over time as a core requirement, not an afterthought.
- Use governance and workflow design together so AI helps the firm move faster without losing control.
Sources watched
- ILTACON 2026: Day Two Briefing (Artificial Lawyer)
- California SB 574: Will AI's Home State Kill Off AI for Law? (Artificial Lawyer)
- Gemini for Legal and the Battle for Centrality (Artificial Lawyer)
- Product Walk Through: Monjur (Artificial Lawyer)
- Same Facts, Different Answer: Legal AI’s Consistency Problem (Artificial Lawyer)
