Responsible AI in Expert Witness Valuations: RICS March 2026 Standards for Courtroom Testimony

Dame Victoria Sharp, president of the King's Bench Division, cited two High Court cases in June 2025 where fabricated legal precedents—generated by careless AI use—contaminated courtroom evidence. These weren't hypothetical warnings; they were real failures that exposed how artificial intelligence, when mishandled by expert witnesses, threatens the integrity of legal proceedings. Now, in 2026, the Royal Institution of Chartered Surveyors (RICS) has responded with the profession's first-ever mandatory standard on Responsible AI in Expert Witness Valuations: RICS March 2026 Standards for Courtroom Testimony, effective March 9, 2026, binding all 150,000 chartered surveyors worldwide[1][2].

The new professional standard fundamentally reshapes how property valuers can ethically integrate artificial intelligence into expert witness work, particularly in valuation disputes governed by Civil Procedure Rules (CPR) protocols. With only 20% of expert witnesses currently using AI—despite 89% demanding specific guidance—the March 2026 standards arrive at a critical inflection point for the profession[2].

Key Takeaways

• ✅ Mandatory compliance: RICS' first AI professional standard became effective March 9, 2026, applying to all chartered surveyors and regulated firms globally
• 📋 Four governance pillars: Standards cover governance and risk management, professional judgment oversight, transparency requirements, and responsible AI development
• ⚖️ Expert witness accountability: Surveyors retain full professional responsibility for all valuations, regardless of AI assistance used
• 🔍 Material impact assessment required: Firms must document whether AI materially impacted service delivery and record reasoning
• 💬 Client disclosure mandatory: Full transparency about AI systems, purposes, and associated risks must be communicated before application

Understanding the RICS March 2026 AI Standards Framework

The Responsible AI in Expert Witness Valuations: RICS March 2026 Standards for Courtroom Testimony represents a conduct standard rather than a technical directive. This intentional design choice aligns with existing RICS Rules of Conduct, establishing behavioral requirements without prescribing specific tools or technical configurations[4].

The Four Core Governance Areas

The standard addresses four fundamental domains that govern AI integration in surveying practice:

1. Governance and Risk Management 🛡️

Before deploying any AI system, RICS-regulated firms must conduct comprehensive system governance assessments and maintain written documentation of these evaluations[3]. This requirement ensures organizations understand the capabilities, limitations, and potential failure modes of their AI tools before applying them to client matters.

2. Professional Judgment and Oversight 👨‍⚖️

The standard embeds a critical principle: AI assists professional practice but never replaces it. Chartered surveyors retain complete accountability for all professional advice delivered, including outputs produced with AI assistance[1]. This means expert witnesses cannot delegate their professional judgment to algorithms, regardless of how sophisticated those systems become.

3. Transparency and Client Communication 📢

Full disclosure requirements mandate that surveyors communicate which AI systems are used, their specific purposes, and associated risks. These informed discussions must occur before AI is applied to client matters[4]. For expert witnesses preparing valuation reports for litigation, this transparency extends to opposing counsel and the court itself.

4. Responsible Development of AI ⚙️

Organizations developing or customizing AI systems face additional obligations to ensure these tools meet professional standards from inception. This includes addressing bias, ensuring data quality, and implementing appropriate testing protocols before deployment in live cases.

Material Impact Assessment: A New Professional Obligation

One of the most significant practical requirements involves the material impact determination. Firms must assess whether AI use has materially impacted service delivery, document this determination, and record the reasoning behind their conclusion[3].

For expert witnesses conducting RICS valuations, this creates a clear audit trail. Consider a surveyor preparing a valuation for a lease extension dispute who uses AI to analyze comparable sales data. The material impact assessment might document:

This structured approach protects both the surveyor and the client, creating transparency that courts increasingly demand.

Responsible AI in Expert Witness Valuations: Ethical Integration Under CPR Protocols

The Civil Procedure Rules (CPR) Part 35 establishes that expert witnesses have an overriding duty to the court, not to the party instructing them. This fundamental principle creates unique challenges when integrating AI into expert valuation work, as the technology must support—not compromise—the expert's independence and integrity.

The Expert Witness's Personal Opinion Requirement

Professional opinion must remain the expert's own. Expert witnesses may use AI for formatting and language refinement, but must not use AI to write substantive report content without thoroughly reviewing it to ensure it reflects their personal and honest expert opinion[2].

This distinction is critical. An expert witness preparing a valuation for capital gains tax disputes might appropriately use AI to:

✅ Permitted uses:

• Format comparable sales data into tables
• Check grammar and spelling in draft reports
• Generate preliminary market research summaries for review
• Create visualization charts from verified data
• Identify potential comparable properties for manual verification

❌ Prohibited uses:

• Generate valuation conclusions without independent verification
• Write substantive analysis sections without thorough review
• Select comparable properties without professional judgment
• Calculate adjustments without surveyor oversight
• Draft expert opinions based on AI recommendations alone

The surveyor must curate AI inputs and validate outputs through professional skepticism, positioning themselves as adding irreplaceable value in verification[1].

Case Study: Avoiding Bias in AI-Assisted Commercial Valuations

Consider a real-world scenario involving a commercial property valuation dispute between landlord and tenant regarding rent review provisions. The expert witness engaged by the tenant uses an AI system to identify comparable rental transactions.

The Problem: The AI system, trained primarily on data from high-performing retail locations, systematically overestimates rental values for secondary locations. Without proper validation, this algorithmic bias would disadvantage the tenant.

The Solution Under RICS March 2026 Standards:

1. Governance Assessment: Before using the AI tool, the surveyor's firm documented the system's training data sources, identifying the potential geographic bias
2. Professional Oversight: The expert witness manually reviewed all AI-suggested comparables, removing inappropriate matches and adding relevant transactions the AI missed
3. Transparency Documentation: The expert's report disclosed AI use, explained validation steps, and noted instances where professional judgment overrode AI suggestions
4. Material Impact Determination: The firm documented that while AI assisted research, the expert's professional judgment materially shaped final conclusions

This approach demonstrates how Responsible AI in Expert Witness Valuations: RICS March 2026 Standards for Courtroom Testimony protects against algorithmic bias while leveraging AI's research efficiency.

Documentation Requirements for Court Proceedings

When preparing expert reports for litigation, surveyors must now maintain enhanced documentation trails. For RICS Red Book valuations submitted as court evidence, this includes:

Pre-Engagement Documentation:

• Client disclosure of intended AI use
• Discussion of AI risks and limitations
• Agreement on transparency protocols

During Valuation:

• Records of AI systems used and their purposes
• Validation steps for AI-generated outputs
• Instances where professional judgment overrode AI suggestions
• Material impact assessments

In Expert Reports:

• Clear disclosure statements about AI use
• Explanation of how AI assisted (not replaced) professional judgment
• Description of validation and verification procedures
• Statement confirming conclusions represent expert's personal opinion

This documentation level may seem burdensome, but it protects expert witnesses during cross-examination and demonstrates compliance with both RICS standards and CPR requirements.

Implementing Responsible AI in Expert Witness Valuations: Practical Compliance Strategies

With the March 2026 standards now mandatory, surveying firms and individual practitioners must implement practical compliance frameworks. The transition from voluntary best practices to enforceable professional standards requires systematic changes to workflows, training, and quality assurance.

Establishing Firm-Level AI Governance

For surveying practices offering expert witness services, firm-level governance provides the foundation for compliant AI use. This governance structure should address:

Policy Development 📋

Create written AI use policies specific to expert witness work, distinguishing between routine RICS valuations and litigation-sensitive assignments. These policies should specify:

• Approved AI systems and their permitted applications
• Prohibited uses in expert witness contexts
• Escalation procedures when AI outputs raise concerns
• Documentation requirements for different assignment types

Training Programs 🎓

The 89% of expert witnesses who indicated specific AI guidance is needed highlight a significant training gap[2]. Effective training programs should cover:

• Technical understanding of AI capabilities and limitations
• Bias recognition and mitigation strategies
• Documentation requirements under RICS standards
• Cross-examination preparation regarding AI use
• Ethical decision-making frameworks

Quality Assurance Processes ✅

Implement review procedures that verify AI-assisted work meets professional standards. For valuation reports prepared for litigation, this might include:

• Peer review of AI validation steps
• Spot-checking of AI-suggested comparables
• Verification that material impact assessments are complete
• Confirmation that client disclosures occurred

Individual Practitioner Compliance Checklist

Expert witnesses working as sole practitioners or within smaller firms can implement compliance through systematic checklists. Before using AI in any expert witness assignment:

Pre-Assignment Phase:

• Identify all AI systems you intend to use
• Document the purpose for each AI application
• Assess potential risks and limitations
• Prepare client disclosure materials
• Conduct material impact assessment framework

During Assignment:

• Maintain contemporaneous records of AI use
• Document validation steps for AI outputs
• Note instances where you override AI suggestions
• Apply professional skepticism to all AI-generated content
• Ensure conclusions remain your independent professional opinion

Report Preparation:

• Include clear AI disclosure statement
• Explain validation procedures
• Confirm report reflects your personal expert opinion
• Complete material impact assessment
• Prepare to explain AI use during cross-examination

Post-Assignment:

• Archive all AI-related documentation
• Review lessons learned for future assignments
• Update firm policies based on experience

Addressing the Low Adoption Challenge

Current data shows only 20% of expert witnesses use AI, representing a doubling from 9.3% in 2024 but still significantly below the UK national average of 65% who intentionally use AI for work[2]. This low adoption creates both challenges and opportunities.

Why the Gap Exists:

• Liability concerns: Fear of professional negligence claims
• Technical uncertainty: Lack of understanding about appropriate applications
• Quality skepticism: Doubts about AI reliability in professional contexts
• Training deficits: Insufficient education on responsible implementation

Strategic Adoption Approach:

Rather than rushing to adopt AI, expert witnesses should follow a measured implementation path:

1. Start with low-risk applications: Use AI for administrative tasks like formatting before applying it to substantive analysis
2. Pilot with non-litigation work: Test AI tools on routine RICS valuations before expert witness assignments
3. Build validation expertise: Develop systematic approaches to verifying AI outputs
4. Document everything: Create compliance habits during low-stakes assignments
5. Seek peer review: Have colleagues review your AI integration approach

This gradual adoption strategy allows practitioners to build competence while minimizing risk.

Cross-Examination Preparation in the AI Era

The March 2026 standards create new cross-examination vulnerabilities for expert witnesses. Opposing counsel will inevitably probe AI use, seeking to undermine the expert's credibility or the reliability of their conclusions.

Anticipated Cross-Examination Questions:

• "Which AI systems did you use in preparing your valuation?"
• "How do you know the AI didn't introduce bias into your analysis?"
• "Can you explain how the AI algorithm reached its conclusions?"
• "Did you independently verify every AI-generated suggestion?"
• "How can you claim this is your personal opinion if AI wrote portions of your report?"

Effective Response Strategies:

Be proactively transparent: Don't wait for questions—address AI use in your main report and initial testimony. This demonstrates confidence and compliance with RICS standards.

Emphasize validation: Focus testimony on the rigorous verification steps you took, not on the AI's capabilities. Courts care about reliability, not technological sophistication.

Maintain professional authority: Frame AI as a research assistant that you supervised, similar to how senior surveyors might delegate preliminary research to junior staff while retaining responsibility.

Document everything: Your contemporaneous records of AI validation steps provide powerful evidence that you maintained professional oversight.

For surveyors preparing probate valuations or other expert witness work, this preparation is now essential professional practice.

The Future Landscape: Professional Standards and Technological Evolution

The Responsible AI in Expert Witness Valuations: RICS March 2026 Standards for Courtroom Testimony represents a starting point, not a final destination. As AI technology evolves and adoption increases, the standards will require periodic updates to address emerging challenges and opportunities.

Anticipated Developments

Enhanced Transparency Requirements 🔍

Future iterations may require more granular disclosure about AI training data, algorithmic decision-making processes, and specific validation methodologies. Courts increasingly demand this level of detail to assess the reliability of expert evidence.

Specialized AI Tools for Surveying 🛠️

The current low adoption rate (20%) will likely increase as vendors develop AI systems specifically designed for surveying applications with built-in RICS compliance features. These purpose-built tools may include:

• Automated documentation of AI use for expert reports
• Built-in bias detection and mitigation
• Audit trails that satisfy material impact assessment requirements
• Integration with Red Book valuation methodologies

Professional Indemnity Insurance Implications 💼

Insurers will increasingly scrutinize AI use in expert witness work. Surveyors may face:

• Premium adjustments based on AI governance practices
• Mandatory disclosure of AI systems used
• Coverage exclusions for non-compliant AI use
• Requirements for specific AI-related risk management protocols

Cross-Border Harmonization 🌍

As a global standard affecting 150,000 chartered surveyors worldwide[1], the RICS approach may influence other professional bodies and jurisdictions. Expert witnesses working on international matters should anticipate convergence toward similar standards.

Maintaining Professional Relevance

The surveying profession faces a fundamental question: How do chartered surveyors remain indispensable in an AI-enabled future? The March 2026 standards provide a clear answer: through professional judgment, ethical oversight, and accountability that algorithms cannot replicate.

Core Professional Value Propositions:

• Contextual understanding: AI cannot grasp local market nuances, property-specific factors, or the subtleties that experienced surveyors recognize
• Ethical judgment: Professional standards, client duties, and court obligations require human ethical reasoning
• Accountability: Someone must answer for valuation conclusions—AI systems cannot be held professionally responsible
• Skeptical validation: Professional skepticism requires human judgment to question, verify, and challenge AI outputs

For practitioners conducting building surveys or specialized valuations, these human elements remain irreplaceable.

Conclusion

The introduction of Responsible AI in Expert Witness Valuations: RICS March 2026 Standards for Courtroom Testimony marks a watershed moment for the surveying profession. By establishing clear conduct requirements effective March 9, 2026, RICS has provided the guidance that 89% of expert witnesses demanded while protecting the integrity of professional practice and courtroom testimony[2].

The standards' four core governance areas—governance and risk management, professional judgment oversight, transparency requirements, and responsible development—create a comprehensive framework that balances technological opportunity with professional responsibility. For the 20% of expert witnesses currently using AI, these standards provide validation and structure. For the 80% not yet adopting AI, they offer a roadmap for responsible future implementation[2].

Actionable Next Steps for Surveyors:

1. Review the full RICS standard: Download and study the complete professional standard document to understand all requirements
2. Assess current practices: Evaluate whether your existing AI use (if any) complies with the new standards
3. Implement governance frameworks: Establish firm-level policies or individual practitioner protocols before using AI in expert witness work
4. Enhance documentation: Create templates and checklists that ensure material impact assessments and transparency requirements are met
5. Invest in training: Develop or obtain training on responsible AI use specific to expert witness contexts
6. Update client communications: Prepare disclosure materials explaining AI use, risks, and validation procedures
7. Prepare for cross-examination: Develop confident, transparent responses about AI integration in your valuation practice

The High Court cases cited by Dame Victoria Sharp in June 2025 demonstrate the real consequences of careless AI use in legal proceedings[2]. The RICS March 2026 standards provide the professional framework to prevent such failures while embracing technology's legitimate benefits.

For chartered surveyors providing expert witness services—whether for lease extensions, commercial disputes, or other valuation matters—compliance with these standards is now mandatory, not optional. The profession's credibility in courtrooms depends on every practitioner's commitment to responsible AI integration.

The future of expert witness valuations will undoubtedly involve artificial intelligence. The RICS March 2026 standards ensure that future remains grounded in professional judgment, ethical practice, and unwavering accountability to the courts and clients we serve.

References

[1] Rics First Ever Standard On Responsible Ai Use Now In Effect – https://www.rics.org/news-insights/rics-first-ever-standard-on-responsible-ai-use-now-in-effect

[2] Ai Expert Witness – https://ww3.rics.org/uk/en/modus/technology-and-data/surveying-tools/ai-expert-witness.html

[3] Ai Responsible Use Standard – https://ww3.rics.org/uk/en/journals/construction-journal/ai-responsible-use-standard.html

[4] Artefact Co Chairs Working Group In Setting The First Global Ai Standards For Property Surveyors – https://www.artefact.com/blog/artefact-co-chairs-working-group-in-setting-the-first-global-ai-standards-for-property-surveyors/