The shift from search-and-find to reason-and-act is transforming professional judgment in the tax and accounting world.
Highlights
Agentic AI will transform tax research by integrating reasoning and workflow automation in 2026.
Tax professionals will benefit from scalable expertise, improved quality, and faster client deliverables.
CoCounsel Tax and Audit exemplify AI tools designed to amplify professional judgment, not replace it.
For centuries, tax and accounting professionals have shared a fundamental challenge: efficiently finding, evaluating, and applying the right information to support defensible professional judgment. While our profession has evolved dramatically — from handwritten ledgers to cloud-based platforms — that core pursuit remains constant.
The history of tax and accounting work closely mirrors the broader evolution of search itself. From early classification systems to today’s AI-driven, context-aware tools, we’ve moved beyond simply retrieving information. The most advanced systems now help professionals work more strategically.
Understanding this parallel evolution reveals why tax and accounting firms are approaching another critical inflection point in 2026, where search no longer sits beside our work but becomes integrated into how professional judgment gets executed.
Jump to ↓
When knowledge lived on physical shelves (pre-1980s)
The rise of structured research systems (mid-20th century)
Digital search transforms speed, not fundamental workflows (1990s-2000s)
Workflow automation scales execution (2000s-2010s)
Early generative AI promises faster answers (late 2010s-early 2020s)
Automating tax workflows with AI: The agentic revolution (2026 and beyond)
What this transformation means for tax and accounting firms
A practical glimpse into the future of professional practice
When knowledge lived on physical shelves (pre-1980s)
Before digital systems transformed our profession, tax and accounting work depended entirely on physical access to authoritative sources. Printed tax codes, regulations, accounting standards, and practitioner manuals were equivalent to ancient libraries, carefully maintained, meticulously organized, and nearly impossible to navigate efficiently without years of experience.
Tax and accounting professionals didn’t just need answers; we needed to know exactly where to look and how to interpret what we found. Much like early library catalogs, finding the right information required:
Deep familiarity with complex organizational structures
Significant time investment for each research task
Heavy reliance on senior practitioners’ institutional knowledge
Manual cross-referencing across multiple physical sources
Professional judgment was paramount, but our ability to scale expertise across teams remained severely limited by these physical constraints.
The rise of structured research systems (mid-20th century)
As tax law grew exponentially more complex and accounting standards expanded globally, our profession adopted increasingly sophisticated ways to organize and access knowledge. Comprehensive indexes, topical guides, cross-reference systems, and detailed editorial explanations became essential tools for every practitioner.
This transformation mirrors the print revolution in search history, when encyclopedias and specialized reference works fundamentally changed how professionals accessed information. In tax and accounting, structured research systems delivered similar breakthroughs:
Primary authority became systematically accessible
Editorial analysis provided crucial context and interpretation
Research methodologies became repeatable and teachable across firms
Quality control improved through standardized reference systems
Search capabilities improved dramatically, but applying research findings to specific client situations still required substantial manual effort. Professionals could find answers faster, but the critical work of reasoning, documenting conclusions, and defending professional judgment remained entirely manual processes.
Digital search transforms speed, not fundamental workflows (1990s-2000s)
The migration from physical shelves to digital screens marked another significant leap forward for tax and accounting research. Digital research platforms allowed professionals to search vast databases of authoritative content with unprecedented precision and speed.
Boolean logic, advanced filters, citation tracking, and cross-referencing capabilities brought a level of research rigor and efficiency that physical systems could never match. Yet while search got exponentially faster, our core professional workflows remained fundamentally unchanged:
Research happened in specialized databases
Analysis occurred in separate applications
Documentation was created in entirely different systems
Client deliverables required manual compilation from multiple sources
Much like early web search engines, tax and accounting professionals could retrieve relevant information quickly, but we still had to manually connect all the analytical dots ourselves.
Workflow automation scales execution (2000s-2010s)
As firms adopted comprehensive tax preparation software, sophisticated document management systems, and workflow automation tools, execution efficiency scaled dramatically. Tax returns moved through preparation cycles faster. Audits became more systematically process-driven. Many routine manual steps were eliminated entirely.
Yet the most intellectually demanding aspects of our work, research, professional judgment, and quality review, remained:
Episodic rather than integrated into workflows
Highly dependent on individual practitioner expertise
Repeated manually across similar client engagements
Difficult to scale consistently across staff levels
Technology had successfully optimized the execution of professional judgment but hadn’t yet meaningfully supported the development of that judgment itself.
Early generative AI promises faster answers (late 2010s-early 2020s)
The introduction of generative AI brought a compelling new promise to tax and accounting: dramatically faster answers, plain-language summaries of complex regulations, and easier drafting of routine communications. For many everyday professional tasks, that promise delivered real value.
However, in tax and accounting practice, the professional standards bar is significantly higher than most other applications. Answer-only AI systems treat complex professional work as primarily a content retrieval problem. In reality, tax and accounting are fundamentally decision-making disciplines where traceability, contextual reasoning, and defensible documentation matter as much as, if not more than, raw speed.
Without preserved reasoning chains, authoritative citations, and review-ready outputs that meet professional standards, faster answers alone prove insufficient for most substantive professional applications.
Automating tax workflows with AI: The agentic revolution (2026 and beyond)
The broader technology landscape is now experiencing a fundamental shift beyond simple information retrieval toward systems that can reason systematically, sequence complex tasks, and take contextual actions. This same transformation is beginning to reshape how tax and accounting professionals approach their most challenging work.
Agentic AI systems represent a quantum leap beyond traditional search-and-retrieve models. Instead of simply finding information, these advanced tax research tools in 2026 will:
Clarify the professional intent behind complex research questions
Break multifaceted tax and accounting issues into logical, manageable analytical steps
Reason systematically across multiple authoritative sources simultaneously
Preserve complete analytical context throughout extended research workflows
Produce work products that can be immediately reviewed, refined, and delivered to clients
This technological evolution finally aligns advanced AI capabilities with how tax and accounting professionals actually operate in practice, supporting and amplifying professional judgment rather than attempting to sideline human expertise.
What this transformation means for tax and accounting firms
Tax and accounting work has always fundamentally required three core capabilities:
Asking the right questions based on client facts and circumstances
Evaluating authoritative information within proper regulatory and business contexts
Producing defensible, client-ready work products that meet professional standards
What’s genuinely different about this current technological inflection point is that AI systems are finally being designed and built to support all three capabilities working together seamlessly.
For forward-thinking firms, this represents an unprecedented opportunity to:
Scale specialized expertise without sacrificing quality or consistency
Reduce dangerous variability in work product quality across different staff experience levels
Retain and systematically leverage institutional knowledge as senior practitioners retire
Redirect billable time from routine research tasks toward higher-value client advisory services
Improve client satisfaction through faster turnaround on complex research deliverables
A practical glimpse into the future of professional practice
At Thomson Reuters, this technological evolution directly reflects our decades-long commitment to helping tax and accounting professionals navigate increasing regulatory complexity with greater confidence and efficiency. As search capabilities continue advancing from simply finding information to actually completing professional outcomes, the research tools our profession relies on must evolve correspondingly.
Solutions like CoCounsel Tax and CoCounsel Audit represent this crucial next evolutionary step: bringing together trusted authoritative content, sophisticated contextual reasoning capabilities, and workflow-aware AI functionality in unified environments specifically designed to support human professional judgment rather than replace it.
Search technology has evolved through multiple transformations before, from ancient scrolls to comprehensive indexes, from reference books to digital databases, from simple web links to intelligent answers. Each major shift has expanded what tax and accounting professionals could accomplish for their clients.
This next chapter in automating tax workflows with AI may prove to be the most professionally significant transformation yet.
The firms that recognize this shift early and thoughtfully integrate agentic AI capabilities into their research workflows will gain substantial competitive advantages in efficiency, quality, and client service delivery.
The future of tax and accounting work isn’t about eliminating professional expertise. It’s about systematically amplifying that expertise so professionals can focus on what they do best: providing strategic counsel that drives client success.
Ready to experience the future of tax and accounting research? Discover how CoCounsel Tax and CoCounsel Audit are already helping professionals work more efficiently while maintaining the highest standards of professional judgment.
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