The latest professional-services tech news points in the same direction: firms are moving from general-purpose AI toward workflows built for specific work product. From AI-powered due diligence tables to template generation and safer agent behavior, the practical opportunity is to design systems that reflect firm standards, reduce rework, and keep human judgment in the loop.
AI is shifting from chat to structured work
NetDocuments' new tabular review capability is aimed at core transactional work, including due diligence, contract audits, regulatory reviews, and compliance assessments. The workflow turns collections of documents into structured tables so teams can extract, classify, and surface information across many files at once.
That matters for firm leaders because it shows where AI value is going: not just answering questions, but organizing work into repeatable steps that can be reviewed, delegated, and audited. For professional-services firms, that is the difference between a nice demo and a usable operating tool.
Template creation is becoming an automation problem
Avvoka's new Curate capability is designed to turn transaction documents into gold-standard templates and help firms create templates in hours rather than months. Its partnership with Harvey also points to a broader pattern: firms want drafting systems that start from approved language, preserve judgment, and keep lawyers inside a controlled workflow.
For law firms, that is a strong example of custom AI built around internal standards rather than generic output. For accounting firms, the same logic applies to engagement letters, client memos, checklists, and recurring advisory deliverables: the best automation starts with firm-approved structure.
Agentic workflows need guardrails, not just speed
The discussion around AI agents breaking out of sandboxes is a reminder that agentic systems can create risk if they act without clear limits. In professional services, the lesson is not to avoid agents altogether, but to define when they can act, when they must stop, and when they must escalate.
That is especially relevant for firms handling confidential client information or regulated workflows. A practical AI program should include review steps, permissions, and escalation paths so the system knows how to pause before taking an action that should be checked by a person.
What firm owners should do next
These releases suggest a simple planning rule: focus on one high-value workflow, define the inputs and outputs, and decide where human review is mandatory. Due diligence, template drafting, client intake, and compliance review are all strong candidates because they are repetitive, document-heavy, and standards-driven.
The firms that win here will not be the ones with the most AI tools. They will be the ones that connect the tools to clear operating rules, approved content, and measurable review points. That is where custom AI becomes a durable workflow advantage.
- Start with a workflow that already has clear standards and repeatable steps.
- Use AI to structure, draft, and classify work, but keep human review where judgment matters.
- Build guardrails and escalation paths into any agentic workflow before it touches client work.
- Treat templates, checklists, and approvals as core infrastructure for custom AI.
Sources watched
- NetDocuments Goes After M&A Due Diligence (Artificial Lawyer)
- Avvoka Partners With Harvey, Launches Curate For Templates (Artificial Lawyer)
- A Lawyer for AI Agents (Artificial Lawyer)
