The transition from simple searching to informed decision-making is revolutionizing professional judgment in the tax and accounting sectors.
Highlights
- By 2026, agentic AI will revolutionize tax research through the integration of reasoning and automated workflows.
- Tax professionals will gain access to scalable expertise, enhanced quality, and expedited client deliverables.
- CoCounsel Tax and Audit showcase AI tools intended to enhance professional judgment rather than replace it.
For centuries, tax and accounting professionals have faced a fundamental challenge: the efficient discovery, evaluation, and application of relevant information to support sound professional judgments. Although the profession has undergone significant changes—from handwritten ledgers to cloud-based solutions—the essence of this pursuit remains unchanged.
The evolution of tax and accounting practice parallels the broader advancement of search technology. From initial classification systems to today’s AI-enabled, context-aware tools, we’ve moved beyond mere information retrieval. The most sophisticated systems now empower professionals to approach their work with greater strategy and insight.
This understanding of parallel advancements highlights why the tax and accounting industry stands on the brink of a significant transformation in 2026. It is anticipated that search functionalities will no longer exist as a separate activity but will be woven into the fabric of professional judgment execution.
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)
Prior to the advent of digital systems, tax and accounting work relied heavily on physical access to authoritative resources. Printed tax codes, regulations, accounting standards, and practitioner manuals functioned like ancient libraries—rigorously maintained yet challenging to navigate efficiently without years of experience.
Professionals needed not just the answers, but also the expertise to identify exactly where to look and how to interpret findings. Just as early library catalogs required:
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- A profound understanding of complex organizational structures
- A significant time investment for each research task
- A heavy reliance on the institutional knowledge of seasoned practitioners
- Manual cross-referencing of multiple physical sources
While professional judgment was essential, the ability to scale expertise across teams was severely restricted by these physical limitations.
The rise of structured research systems (mid-20th century)
As tax law became increasingly complex and accounting standards expanded globally, the profession adopted more sophisticated means to organize and access knowledge. Comprehensive indexes, topical guides, cross-reference systems, and detailed editorial analyses became vital tools for practitioners.
This transformation is akin to the print revolution in the history of search, as encyclopedias and specialized reference materials fundamentally changed how information was accessed. In tax and accounting, structured research systems provided similar breakthroughs:
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- Primary sources became systematically accessible
- Editorial insights offered essential context and interpretation
- Research methods became repeatable and teachable across firms
- Quality control improved through standardized reference systems
Although search capabilities improved significantly, the application of research findings to specific client situations still required substantial manual effort. Speed increased, but the crucial tasks of reasoning, documenting conclusions, and justifying professional judgment remained manual processes.
Digital search transforms speed, not fundamental workflows (1990s-2000s)
The transition from physical shelves to digital platforms marked another significant advancement for tax and accounting research. Digital research environments enabled professionals to search extensive databases of authoritative information with unparalleled speed and precision.
Boolean logic, advanced filters, citation tracking, and cross-referencing tools introduced a level of research efficiency that physical systems could not achieve. However, while the speed of search dramatically improved, core workflows remained fundamentally unchanged:
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- Research occurred in specialized databases
- Analysis was conducted in separate applications
- Documentation was generated 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 still had to manually connect all analytical components.
Workflow automation scales execution (2000s-2010s)
As firms began implementing comprehensive tax preparation software, advanced document management systems, and workflow automation tools, efficiency in execution surged. Tax returns moved swiftly through preparation cycles, and audits became more systematic. Many routine manual steps were eliminated.
Yet, the more intellectually rigorous tasks—research, professional judgment, and quality review—remained:
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- Episodic rather than integrated into workflows
- Heavily reliant on individual practitioner expertise
- Repeated manually across similar client engagements
- Difficult to scale uniformly across staff levels
While technology enhanced execution efficiency, it had yet to provide meaningful support for the development of that judgment itself.
Early generative AI promises faster answers (late 2010s-early 2020s)
The advent of generative AI brought forth a compelling prospect for tax and accounting: vastly quicker answers, simplified explanations of complex regulations, and streamlined drafting of routine communications. For many day-to-day tasks, this promise has yielded genuine value.
However, tax and accounting standards demand significantly higher professionalism compared to many other fields. AI systems focused solely on answering treat complex professional work as mere content retrieval. In reality, tax and accounting are decision-making disciplines, where traceability, contextual reasoning, and defensible documentation are as crucial as—if not more than—speed.
Without maintaining reasoning chains, authoritative citations, and review-ready outputs that meet professional standards, swift responses alone are insufficient for substantial professional applications.
Automating tax workflows with AI: The agentic revolution (2026 and beyond)
The technological landscape is now undergoing a significant shift from mere information retrieval to systems capable of systematic reasoning, sequencing complex tasks, and executing contextual actions. This transformation is beginning to reshape how tax and accounting professionals tackle their most arduous challenges.
Agentic AI systems mark a significant advancement beyond conventional search-and-retrieve models. Rather than simply locating information, these advanced tax research tools by 2026 will:
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- Clarify the professional intentions behind complex research inquiries
- Decompose multifaceted tax and accounting issues into logical, manageable analytical steps
- Systematically reason across multiple authoritative sources simultaneously
- Maintain complete analytical context throughout extended research workflows
- Produce outputs ready for immediate review, refinement, and delivery to clients
This technological advance aligns AI capabilities with the realities of how tax and accounting professionals operate, bolstering and amplifying professional judgment rather than seeking to marginalize human expertise.
What this transformation means for tax and accounting firms
Tax and accounting work has fundamentally relied on three core competencies:
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- Posing the right questions based on client-specific facts and circumstances
- Assessing authoritative information within the appropriate regulatory and business frameworks
- Delivering defensible, client-ready outputs that uphold professional standards
What sets this current technological shift apart is that AI systems are finally being designed to support all three capabilities in a seamless manner.
For innovative firms, this offers an unparalleled opportunity to:
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- Scale specialized expertise without compromising quality or consistency
- Minimize dangerous variability in work product quality across different staff experience levels
- Preserve and systematically leverage institutional knowledge as senior practitioners retire
- Redirect billable time from routine research to higher-value client advisory services
- Enhance client satisfaction through quicker turnaround on complex research outputs
A practical glimpse into the future of professional practice
At Thomson Reuters, this technological evolution reflects our long-term commitment to helping tax and accounting professionals effectively navigate increasing regulatory complexity with confidence and efficiency. As search capabilities transition from merely locating information to fulfilling professional outcomes, the tools our profession relies on must evolve correspondingly.
Solutions like CoCounsel Tax and CoCounsel Audit embody this critical next evolutionary phase: integrating trusted authoritative content, advanced contextual reasoning capabilities, and AI-driven workflow functionality within unified environments designed specifically to support human professional judgment rather than supplant it.
Search technology has undergone various transformations over time—from ancient scrolls to comprehensive indexes, from reference books to digital databases, and from simple web links to intelligent answers. Each substantial change has broadened the capabilities of tax and accounting professionals in serving their clients.
This upcoming chapter of automating tax workflows with AI may represent the most professionally significant transformation yet.
Firms that identify this shift early and strategically integrate agentic AI capabilities into their research workflows will gain substantial advantages in terms of efficiency, quality, and client service delivery.
The future of tax and accounting is not about diminishing professional expertise; rather, it’s about systematically enhancing that expertise, allowing professionals to focus on what they excel at: delivering strategic counsel that fosters client success.
Are you prepared to explore the future of tax and accounting research? Discover how CoCounsel Tax and CoCounsel Audit are aiding professionals in working more efficiently while upholding the highest standards of professional judgment.
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