The latest news from legal tech and accounting tech points in the same direction: firms want AI that works inside real workflows, not as a disconnected add-on. That shift matters for law firms and accounting firms planning custom AI, automation, or agentic workflows around intake, analysis, review, and knowledge retrieval.
The market is moving toward connected workflows
Sandstone's fundraising highlights demand for AI-native legal departments built around a single working surface that connects counterparties, stakeholders, matters, obligations, contracts, and history. Its model is designed so teams can deploy AI across intake, triage, drafting, review, and knowledge retrieval with more context behind the work.
For professional-services firms, the lesson is simple: AI performs better when it can see the workflow end to end. Point solutions may help with one task, but connected systems are better suited to the way legal and accounting teams actually operate.
Custom AI is becoming more practical in audit and assurance
MindBridge's latest audit and assurance platform updates focus on modernizing risk assessment, using full-population financial data, and scaling analytics-driven workflows across complex engagements. The company says the enhancements help auditors automate critical analysis tasks while improving transparency and explainability.
That combination matters for accounting firms planning custom AI. The strongest use cases are not generic chat tools, but systems that help teams identify, prioritize, and investigate risk more effectively while freeing more time for professional judgment.
Why agentic workflows need firm-specific context
Both updates reinforce a common theme: AI becomes more useful when it is trained on domain-specific context and integrated into how teams already work. Sandstone emphasizes legal-specific context, while MindBridge emphasizes connected audit workflows and explainability.
For firms considering agentic workflows, that means the starting point should be the firm's real process map. Intake, triage, review, analysis, and knowledge retrieval are all candidates for automation, but only when the underlying data, permissions, and review steps are clear.
What this means for firm leaders
The news also sits against a broader operating backdrop: accounting firms continue to change through investment, staffing moves, and talent development, while the IRS is also hiring for seasonal roles to support taxpayer service and compliance work. In other words, the environment still rewards firms that can scale work efficiently.
For law and accounting leaders, the strategic question is no longer whether to use AI, but where to build it into the firm's operating model. The best first moves are usually narrow, measurable workflows that connect to real client work and support review, governance, and knowledge reuse.
- Start with one workflow that is repetitive, high-volume, and easy to measure.
- Prioritize systems that use firm-specific context, not generic AI prompts alone.
- Design for review, explainability, and knowledge capture from the beginning.
- Use AI to support professional judgment, not replace it.
Sources watched
- Sandstone Raises $30m For AI-Native Inhouse Teams (Artificial Lawyer)
- MindBridge Expands Audit and Assurance Platform (CPA Practice Advisor AI)
- Smith + Howard Receives 'Significant' Outside Investment From TPG (CPA Practice Advisor AI)
- IRS to Host Hiring Events Nationwide (CPA Practice Advisor AI)
