Judicial accounting outputs are reports that guide judges in conflicting parties over financial litigation, supporting judicial cases, and settling and resolving disputes. As a discipline, judicial accounting applies the science and knowledge of accounting, such as finance, taxation and auditing in the form in which the judicial accountant can provide his expert opinion, through the availability of a set of techniques in the field of fraud investigation and support of lawsuits, to investigate the allegations alleged by the relevant parties, especially those allegations related to the existence of fraud, as the objective of the judicial accountant will depend on the purpose of his assignment, including investigating the presence of fraud. The external auditor's reliance on the sampling method when checking financial disclosure and his lack of responsibility for detecting fraud highlights the importance of judicial accounting in detecting fraud by employing a set of techniques, to assist him in detecting fraud. The achievement of its objectives by the judicial accountant also requires set of characteristics such as education, training, diverse experience in the field of accounting, auditing and law, oral and written communication skills, and the ability to work in a team environment. Judicial accounting is based on a range of techniques, for instance, including Benford's law, computer-based audit tools, data mining and analysis to show the role of judicial accounting techniques in the judicial accountant’s awareness of his duties towards the external auditor in detecting fraud and its impact on developing his performance.

This study seeks to investigate the variables that affect small and medium enterprises (SMEs) adoption of the usage of artificial intelligence (AI) and audit quality analysis from the perspectives of external auditors and accountants in the Kingdom of Saudi Arabia (KSA). Additionally, it seeks to determine whether external auditors and accountants in Saudi SMEs have different perspectives on AI adoption and how it affects audit quality. Data were gathered via an internet questionnaire from eighty accountants and forty audit companies in Saudi SMEs to accomplish these research goals. The study's findings indicate that accountants and external auditors in the KSA believe that utilizing AI improves the quality of audits. Also, it was discovered that there is no statistically significant difference in how accountants and auditors evaluate ’AI’s contribution to audit quality.