How AI Will Transform the Work of Accountants and Lawyers
Law and accounting have been pillars of organized society for centuries. A lawyer defends rights and navigates complexity. An accountant safeguards financial integrity and translates numbers into decisions. Both professions demand deep expertise, meticulous attention to detail, and an unwavering foundation of trust.
So when artificial intelligence enters the picture, the question is inevitable: will these professions survive?
The honest answer is neither "relax, nothing will change" nor "start looking for a new career." The reality sits between those poles -- but it tilts decisively against those who stand still.
The Numbers: Where AI Adoption Stands Today
By 2026, AI adoption in professional services has shifted from curiosity to critical mass. The acceleration has been striking, particularly in law.
According to the 8am 2026 Legal Industry Report, 69% of legal professionals now use generative AI tools in their work. In 2024, that figure was just 27%. The report calls this pace "unprecedented for a profession historically known for caution around new technology," noting that what usually takes decades to reach majority adoption happened in three years.
On the accounting side, the trajectory is equally dramatic. Wolters Kluwer's Future Ready Accountant report shows that AI adoption in accounting firms leapt from 9% in 2024 to 41% in 2025. An IDC study surveying over 1,000 audit and accounting professionals worldwide found that 66% say AI is already embedded in their firm strategy, actively used in select functions, or in pilot deployment.
Goldman Sachs estimates that generative AI could affect up to 300 million jobs globally -- roughly 9.1% of workers -- but projects only about a 0.5 percentage point increase in unemployment, as new roles emerge to offset displaced ones. McKinsey estimates that approximately 23% of a lawyer's job could be automated through AI technologies. Crucially, this does not mean 23% of lawyers will lose their jobs. It means every lawyer could redirect nearly a quarter of their working hours from routine tasks to higher-value work.
AI in Legal Practice: From Document Review to Strategic Counsel
Document Review and Due Diligence
Document review is where legal AI has reached its most mature state. What once consumed days of associate time -- sifting through thousands of documents for relevant clauses, risks, or precedents -- can now be completed in minutes.
Harvey AI, the fastest-growing legal technology startup, has raised over $200 million and achieved unicorn status since its founding in 2022. In enterprise case studies, lawyers using Harvey reported saving 2-3 hours per week on routine tasks and reducing document review time by 30%.
Thomson Reuters' CoCounsel platform, backed by over 225 years of legal content including Westlaw and Practical Law, can rapidly summarize complex legal documents, identify key contract clauses and risks, and generate detailed legal memos with cited sources. In the independent VLAIR benchmark -- the first systematic attempt to independently evaluate legal AI tools against a lawyer control group -- CoCounsel achieved an average score of 79.5% across its evaluated tasks, surpassing the lawyer baseline by more than 10 points. Harvey Assistant scored even higher, achieving a 94.8% accuracy rate for document question-and-answer tasks.
Both tools delivered responses in under a minute for tasks that traditionally took hours.
Contract Analysis and Negotiation
AI is transforming how contracts are drafted, reviewed, and negotiated. Tools like Spellbook work directly inside Microsoft Word to analyze contract language, flag risky provisions, and suggest alternative text. For firms handling high volumes of commercial contracts, this capability represents a fundamental shift in workflow efficiency.
The 2025 Artificial Lawyer survey found that Harvey and CoCounsel lead the market for contract negotiation and redlining, followed by tools like Draftwise and Lexis Create+. However, no single platform dominates, and firms are still evaluating which tools deliver genuine return on investment. Some firms have discontinued tools after initial adoption -- the survey found 4 firms dropped Harvey and 9 dropped CoCounsel -- citing cost concerns and insufficient ROI.
Legal Research
Case law research has traditionally been one of the most time-intensive aspects of legal practice. AI tools now have the potential to save U.S. lawyers up to 266 million hours annually in research tasks alone.
The transformation extends beyond English-language markets. In Turkey, platforms like Apilex.ai offer AI-powered case law search, document generation, legislation analysis, and risk assessment, with plans to expand into the European market in 2026. OveK Hukuk can perform semantic search across over 12 million precedents and generate court-ready petitions in 30 seconds.
AI in Accounting and Audit: From Bookkeeping to Advisory
Bookkeeping and Data Entry
The most immediate and widespread impact of AI in accounting is on data entry and bookkeeping. Today, 95% of accountants have adopted automation for processes like payroll and accounts payable, with 98% reporting improved data accuracy and workflow efficiency. AI tools automatically extract data from invoices, receipts, and bank statements, perform reconciliations, and generate analytical reports.
California-based firm Armanino offers an AI-powered 13-week cash flow model that processes over 25,000 transactions in minutes, giving clients detailed visibility into their cash positions. Maryland-based GWCPA integrates MindBridge AI for enhanced audit risk assessment and Ask Blue J for tax research.
Audit
The impact of AI on audit is particularly striking. According to a KPMG study, firms using AI for audits reported 60% faster completion times. Deloitte's data shows AI improved audit accuracy by 92% while reducing errors in sampled transactions by 78%. Over half (53%) of audit professionals agree that AI tools can improve audit quality, and 92% of CFOs believe AI will enable real-time financial auditing.
Internal auditors expect AI adoption in their function to double to 80% by 2026, up from 39% currently. Yet professionals emphasize that key tasks must remain human-led: scoping an audit, understanding how a system is actually used, and distinguishing true risks from acceptable deviations. As one audit leader put it, "AI can surface information, but it cannot read the room, understand intent, or take accountability for the call."
Tax Preparation and Planning
EY's research indicates AI tools have reduced tax preparation time by 55% on average, with Tax AI expected to handle 90% of routine tax tasks by 2026. Microsoft's $2 billion partnership with KPMG specifically targets accelerating time-consuming processes like researching how foreign tax rules apply to specific client situations.
The Big Four's AI Investment
The scale of institutional commitment tells its own story. The Big Four accounting firms -- Deloitte, PwC, KPMG, and EY -- have collectively committed $9.5 billion to AI transformation. Deloitte unveiled its agentic AI platform Zora AI in March 2025. PwC developed AI agents that provide tailored guidance for auditors. KPMG partnered with Microsoft in a $2 billion deal. These are not experimental side projects; they represent strategic bets on the future of the profession.
What Will Not Change: The Irreplaceable Human Element
Amid this transformation, there are critical domains where AI cannot substitute for human professionals. Understanding these areas is essential for career planning.
Client Relationships and Trust
A lawyer looking a client in the eye and saying "We will fight for you," an accountant sitting with a business owner and explaining the story behind the financial statements -- these moments cannot be replicated by algorithms. Trust is built through presence, empathy, and demonstrated judgment over time. The IDC research underscores this: "AI can surface information, but it cannot read the room, understand intent, or take accountability for the call."
Ethical Judgment and Professional Responsibility
Law and accounting are professions built on societal trust. A lawyer's conflict-of-interest assessment, an auditor's instinct that "something is wrong here," a tax advisor's courage to tell a client "this is legal but not ethical" -- all of these require human judgment that cannot be outsourced to a model.
McKinsey's research supports this directly: skills rooted in social and emotional intelligence -- interpersonal conflict resolution, negotiation, design thinking -- will remain uniquely human, demanding empathy and contextual understanding that machines struggle to replicate.
Complex Strategic Decision-Making
Tax structuring, mergers and acquisitions, estate planning -- these are domains where multiple variables, deep uncertainty, and human relationships intersect. AI can be a powerful assistant in these processes, providing analysis and scenario modeling, but the final judgment call must remain with a human professional who understands the full context.
The Adaptation Strategy: What to Do Starting Today
1. Treat AI as a Tool, Not a Threat
AI is taking over the low-value parts of your work and pushing you toward high-value activities. For a lawyer, this means shifting from routine petition drafting to strategic case management. For an accountant, it means evolving from bookkeeping to financial advisory. Consider that firms investing in AI training are unlocking seven additional weeks of capacity per employee per year. That is more clients served at higher quality, not fewer professionals needed.
2. Build Firm-Level Strategy
Individual adoption is racing ahead while institutional frameworks lag behind. The 8am report found that 53% of legal professionals say their firm has no AI policy or they are unaware of one. This is both a risk and an opportunity. Firms that establish AI governance policies, training programs, and data security frameworks will pull ahead. At the largest law firms, while AI usage reaches 87%, only 20% of lawyers use their AI tools regularly. Closing that gap is a competitive advantage waiting to be seized.
3. Prioritize Data Security
Client confidentiality is the most sensitive point for both professions. Forty-one percent of lawyers express data privacy concerns related to AI adoption. Uploading privileged client data into general-purpose AI tools creates serious professional liability risks. At the enterprise level, solutions that provide data isolation and comply with confidentiality standards should be the only acceptable choice.
4. Strengthen Your Advisory Capabilities
As AI handles routine work, your clients will expect more strategic value from you. A financial statement alone will no longer suffice -- clients will want to hear "What do these numbers mean, and what should you do about it?" Drafting a contract will not differentiate you; understanding the client's business strategy and recommending the right legal structures will.
Skills for the Future Professional
The World Economic Forum estimates that over 40% of workers will require significant reskilling by 2030. For legal and accounting professionals, this translates into several critical areas:
Technology Literacy: Not writing code, but using AI tools effectively. Knowing which tool fits which task. Critically evaluating AI outputs rather than accepting them blindly.
Data Interpretation: Being able to interpret AI-generated analyses and present them meaningfully to clients who need actionable insights, not raw data.
Advisory and Communication: Translating technical knowledge into language clients understand. Developing strategic recommendations that go beyond what any tool can generate.
Deep Domain Expertise: As AI democratizes general knowledge, the differentiator will be niche expertise. Specializing in a specific industry, a particular area of law, or a specialized tax domain will create value that exceeds AI's generalist capabilities.
Process Management: Integrating AI tools into workflows, managing teams that use AI, and optimizing processes will become increasingly critical competencies.
Looking Ahead: 2026 to 2030
The next five years will be defining for both professions. Several trends are already visible.
Client expectations will shift. In law, clients will demand AI-accelerated contract drafting and review. The traditional pace of legal work will become unacceptable. In accounting, the expectation of real-time financial auditing will grow -- 92% of CFOs believe AI will make this possible.
Employment structures will evolve. MIT has reported a 6.4% increase in legal employment despite AI's impact, suggesting the profession is growing even as it transforms. But Stanford's 2025 study found that hiring for entry-level, AI-impacted roles (like junior accounting positions) fell by 16%. Entry-level roles will shrink; strategic and advisory roles will expand.
Agentic AI will arrive. In 2026, agentic AI -- systems capable of independently executing multi-step tasks from start to finish -- is reaching a tipping point in accounting and tax firms. The Big Four's billions in investment are oriented precisely in this direction.
Markets will grow substantially. The global legal AI market, valued at $3.11 billion in 2026, is projected to exceed $10 billion by 2030. In accounting, the AI market is expected to reach $37.6 billion by 2030, growing at a 41% compound annual growth rate.
Conclusion: The Professionals Who Will Thrive
AI will not replace lawyers and accountants. But lawyers and accountants who use AI will replace those who do not.
This may sound like a cliche, but the data supports it. Legal AI adoption has surged from 27% to 69%, and accounting AI adoption from 9% to 41% -- in just two years. The window for those who wait is narrowing.
The path forward is neither fear nor denial. It is understanding which parts of your profession AI is transforming, learning to use these tools effectively, and strengthening yourself in the areas where AI cannot compete: strategic thinking, client relationships, and ethical judgment.
Ultimately, the most valuable professional service is delivering the answer no algorithm can provide: "I understand your situation, and together we will find the best path forward."
This article is based on data from the 8am 2026 Legal Industry Report, Wolters Kluwer Future Ready Accountant 2025, IDC Future of Audit and Accounting in the AI Era, Goldman Sachs, McKinsey, Thomson Reuters, KPMG, Deloitte, EY, Stanford University, MIT, World Economic Forum, and the VLAIR (Vals Legal AI Report) benchmark study.