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1. How accurate are AI-powered technologies, and can I trust their outputs?

Accuracy is the top concern about AI cited in the report, with 50% of professionals identifying it as a barrier to AI investment. The expectation to prevent risks is high. In fact, 91% of professionals believe AI should be held to a higher standard of accuracy than humans, and 41% say outputs need to be 100% accurate to be used without review.

�������� addresses this challenge with a professional-grade approach built on:

• Domain-specific training. AI models are not generic. Legal AI is refined with input from practicing attorneys, judges, and legal scholars. Tax AI is shaped by certified public accountants (CPAs), tax lawyers, and regulatory experts. This training ensures the systems understand legal nuance, professional language, and regulatory requirements.
• Human-AI collaboration. Our professional-grade AI is not designed to replace judgment but to support it. AI gathers data and performs initial analysis, then presents recommendations. Then, professionals should review, validate, and make final decisions. This creates a feedback loop that builds confidence.
• Proven outcomes. Those that use professional-grade AI are pulling ahead of those still experimenting with basic AI tools, due to professional-grade AI’s domain expertise and accurate information. In fact, human-AI teams consistently outperform either AI-only or human-only approaches, according to internal research.

This commitment to professional-grade AI at �������� is backed by more than 4,500 domain experts and 30 years of applied AI leadership through �������� Labs, where models are continuously refined for the complexity of professional use cases.

2. Is my organization's data secure when using AI solutions?

Security ranks among the top three barriers to AI investment, cited by 42% of professionals in the Future of Professionals report. Concerns around privacy, transparency, and data confidentiality are also rising.

�������� meets this challenge with rigorous protections designed for professionals:

• Data protection. End-to-end encryption is used for data in transit and at rest. Role-based access controls, user authentication, audit trails, and strict retention policies ensure information is only available to the right people, at the right time, for the right purpose.
• Compliance and governance. AI systems align with regulatory requirements and industry standards. This includes compliance with data privacy laws, international standards, and professional ethical guidelines.
• Ongoing risk management. Cybersecurity monitoring, vendor risk assessments, and built-in business continuity planning help organizations manage evolving cybersecurity threats and other potential risks.

For AI safety, that commitment to security includes clear boundaries around how AI is built and trained. Models are developed using curated, permissioned content — not client — so sensitive information and personal data stays protected and confidential in datasets. �������� is one of the few companies to earn ISO 42001 certification for responsible AI, underscoring its deep commitment to ethical data use, security, and compliance. Additionally, we are the first in our market to achieve FedRAMP "In Process" status, demonstrating our commitment to meeting federal security standards and reflecting our partnerships with government agencies.

Explore how �������� safeguards professional data while enabling powerful AI capabilities.

3. Will adopting AI lead to job losses in my profession?

The Future of Professionals report confirms that the fear of job loss has declined but hasn’t disappeared. More importantly, it reveals that AI is changing work, not eliminating it.

Key findings on this concern reveal:

• 55% of professionals have already experienced significant changes in their work or expect to in the next 12 months.
• 1 in 5 in-house departments has significantly altered the proportion of work that is carried out in-house.
• 24% of professionals in private practice report their firm is already offering new services thanks to AI capabilities — or planning to within a year.

AI adoption is unlocking capacity. On average, professionals expect to save five hours per week, which amounts to approximately 240 hours per year. This translates into an estimated $19,000 of value per individual annually.

Professionals are using this time to focus on higher-value activities such as analysis, strategy, and client engagement. Organizations are also evolving, creating new roles and rethinking existing ones to better align with a tech-enabled future.

In legal departments, for example, AI is helping streamline research, review, and drafting tasks, freeing professionals to focus more on client service and strategic guidance. CoCounsel supports this shift with a suite of tools designed to .

4. How can we ensure the ethical use of AI in our profession?

Ethical use remains a top concern of AI in the report, cited by 37% of respondents. While fears of outright misuse have declined, professionals are increasingly focused on transparency, oversight, and accountability to reduce the risks of malpractices.

�������� builds its ethical AI with a “human-in-the-loop” model to support responsible use. This model is part of a broader responsible AI framework, supported by partnerships with OpenAI, Anthropic, and top academic institutions to ensure new models meet the demands of real-world complexity and reduce misinformation. Key pillars include:

• Augmentation, not automation. AI is designed to support professionals, not replace them — that should be the main function.
• Development by experts. Professional-grade AI is developed with and for domain experts who understand ethical obligations, regulatory rules, and client confidentiality.
• Clear use policies. AI tools are built with explainability and auditability in mind, enabling users to trace and verify outputs before relying on them.

5. Could overreliance on AI harm professional skills development?

This is an emerging concern about AI for professionals, with 24% fearing that AI success could lead to diminished expertise over time.

But the report shows that the real risk of AI is failing to adapt. Implementing strategic AI adoption can actually strengthen skill development and decision-making when implemented properly.

Recommended practices include:

• Redesigning early-career roles to reduce routine tasks and increase focus on strategic thinking, analysis, and communication.
• Building continuous learning programs that blend AI literacy with core domain skills.
• Encouraging a proactive mindset through AI fluency — a core professional competency. Professionals who engage with AI are more likely to contribute, lead, and grow.

When professionals use AI thoughtfully, they’re able to focus more on high-value work that sharpens their judgment, deepens their expertise, and enhances their impact. AI becomes a catalyst for growth, not a substitute for skill.

According to the report, AI-enabled professionals gain a long-term competitive edge, with almost all (88%) of the respondents surveyed saying they favor having a profession-specific AI assistant.

6. What steps can we take to ensure successful AI implementation?

Success with AI isn’t just about tools. It’s about alignment across the organization that can help alleviate concerns and navigate AI challenges. The AI Success Pyramid in the report outlines four critical layers:

• Strategy. Organizations with a clear AI strategy are 3.5 times as likely to see ROI.
• Leadership. Firms where leaders lead by example are significantly more likely to report benefits.
• Operations. Forward-looking organizations are adjusting workflows, pricing models, and talent strategies to maximize AI impact.
• Individuals. Professionals who understand AI and feel empowered to use it are more likely to see results.

Whether you're just beginning or refining your AI approach, intentional implementation makes the difference between experimentation and real transformation.

The AI Success Pyramid provides a practical roadmap for building AI readiness. It helps organizations identify what’s working, where to invest next, how to reduce risks, and how to connect strategy with execution.

Final thought: What happens if we wait?

According to the report, 30% of professionals believe their organizations are moving too slowly on AI. These organizations risk falling behind within three years. The competitive gap is real and growing. Firms with visible AI strategies are twice as likely to experience AI-driven revenue growth. Those without one should be concerned about being left behind.

Organizations that act now, invest in professional-grade AI, and support their people through the transition will lead. Those that hesitate may miss the window to innovate, attract top talent, and deliver better outcomes for their clients.

Today, over half of Fortune 500 tech leaders rely on �������� AI to guide legal, tax, and compliance decisions. The infrastructure is available. Now is the time for organizations to explore how it can support their goals.