AI and Evidence in Nigerian Courts: Can You Still Believe What You See and Hear?

Authors

Rapuluchukwu E. Nduka

Commercial and Property Law, Faculty of Law, Nnamdi Azikiwe University, Awka (Nigeria)

Article Information

DOI: 10.47772/IJRISS.2026.100700731

Subject Category: Education

Volume/Issue: 10/7 | Page No: 10789-10797

Publication Timeline

Submitted: 2026-07-26

Accepted: 2026-08-31

Published: 2026-08-08

Abstract

A courtroom is, at its core, a place where a story is tested against proof. For most of legal history, the proof spoke for itself. A document was a document. A photograph was a photograph. A recording was a recording. Artificial intelligence has quietly dissolved that certainty. A Judge in Lagos or Abuja can now be handed a video, an audio clip or a document that looks entirely authentic and is, in fact, a fabrication produced by a machine. This article examines whether the Evidence Act 2011, as amended in 2023, is equipped to handle that possibility. It traces the statutory journey from the Supreme Court's early recognition of computer-generated records in Esso West Africa Inc v Oyegbola, through section 84 of the Evidence Act, to the newer sections 84A to 84D introduced by the Evidence (Amendment) Act 2023. It then tests that framework against the specific problem of AI-manipulated audio, images, video and documents, and considers the role of expert evidence, the shifting burden of proof, and the particular dangers this problem poses in electoral litigation. The article concludes that Nigeria's evidential architecture, though genuinely progressive for its time, was not built to answer the one question that now matters most: not whether a record was properly kept, but whether the reality it claims to show ever happened at all.

Keywords

Artificial intelligence; Evidence; Deepfakes; Admissibility; Authentication; Nigeria

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References

1. Table of Cases [Google Scholar] [Crossref]

2. Andrew v INEC (2018) 19 NWLR (Pt 1625) 523; (2018) LPELR-43847 (SC) [Google Scholar] [Crossref]

3. Bayo Ayadi & Ors v Mobil Producing Nigeria Unlimited (2016) LPELR-41599 (CA) [Google Scholar] [Crossref]

4. Esso West Africa Inc v T Oyegbola (1969) 1 NMLR 194 [Google Scholar] [Crossref]

5. Kubor v Dickson (2013) 4 NWLR (Pt 1345) 534 (SC) [Google Scholar] [Crossref]

6. Stanbic IBTC Bank v LongTerm Global Capital Ltd & Ors (2021) LPELR-55610 (CA) [Google Scholar] [Crossref]

7. Table of Statutes [Google Scholar] [Crossref]

8. Evidence Act 2011Table of Cases [Google Scholar] [Crossref]

9. Andrew v INEC (2018) 19 NWLR (Pt 1625) 523; (2018) LPELR-43847 (SC) [Google Scholar] [Crossref]

10. Bayo Ayadi & Ors v Mobil Producing Nigeria Unlimited (2016) LPELR-41599 (CA) [Google Scholar] [Crossref]

11. Esso West Africa Inc v T Oyegbola (1969) 1 NMLR 194 [Google Scholar] [Crossref]

12. Kubor v Dickson (2013) 4 NWLR (Pt 1345) 534 (SC) [Google Scholar] [Crossref]

13. Stanbic IBTC Bank v LongTerm Global Capital Ltd & Ors (2021) LPELR-55610 (CA) [Google Scholar] [Crossref]

14. Table of Statutes [Google Scholar] [Crossref]

15. Evidence Act 2011 [Google Scholar] [Crossref]

16. Evidence (Amendment) Act 2023 [Google Scholar] [Crossref]

17. Bibliography [Google Scholar] [Crossref]

18. Atoyebi OM, “An Overview of the Evidence (Amendment) Act 2023” AN OVERVIEW OF THE EVIDENCE (AMENDMENT) ACT, 2023 | Omaplex Law Firm> accessed 18 July 2026. [Google Scholar] [Crossref]

19. Balogun I, “AI-powered disinformation could threaten Nigeria’s 2027 elections, NDPC warns” <AI-powered disinformation could threaten Nigeria’s 2027 elections, NDPC warns - Technology Times | Latest and Breaking Nigeria Tech News> accessed 19 July 2026. [Google Scholar] [Crossref]

20. Balogun M, “GUIDE: Scam trends to watch out for in 2026 and how to stay safe online” <GUIDE: Scam trends to watch out for in 2026 and how to stay safe online - Africa Check> accessed 18 July 2026. [Google Scholar] [Crossref]

21. “EU AI Act: first regulation on artificial intelligence” <EU AI Act: first regulation on artificial intelligence | Topics | European Parliament> accessed 19 July 2026. [Google Scholar] [Crossref]

22. “Federal Judges Set Bar for Deepfake Evidence Challenges” <Federal Judges Set Bar for Deepfake Evidence Challenges - Esquire Deposition Solutions> accessed 20 July 2026. [Google Scholar] [Crossref]

23. Hill A, “Proposed Rule 707 targets AI-crafted evidence” <Judicial Panel Advances AI Evidence Rule 707> accessed 19 July 2026. [Google Scholar] [Crossref]

24. Ikuforiji O and Adeboye M, “Justice In The Age Of Artificial Intelligence: Is Nigeria's Evidence Act Adequate For AI-Generated Evidence?” <Justice In The Age Of Artificial Intelligence: Is Nigeria’s Evidence Act Adequate For AI-Generated Evidence? - Court Procedure - Nigeria> accessed 19 July 2026. [Google Scholar] [Crossref]

25. “Joint Statement on AI-Generated Imagery and the Protection of Privacy” <2026-02-23-joint-statement-ai-generated-imagery-61-signatories.pdf> accessed 18 July 2026. [Google Scholar] [Crossref]

26. Lee AR and Loring JM, “Deepfakes as a service meets state laws governing synthetic media in a fragmented regulatory landscape” <Deepfakes-as-a-Service Meets State Laws: Governing Synthetic Media in a Fragmented Legal Landscape | Jones Walker LLP> accessed 19 July 2026. [Google Scholar] [Crossref]

27. Perez-Montes JHL “Daubert in the digital age — Proposed Fed. R. Evid. 707” <Daubert in the digital age — Proposed Fed. R. Evid. 707 | Reuters> accessed 20 July 2026. [Google Scholar] [Crossref]

28. Schiff KJ, Schiff DS and Bueno N, "The Liar's Dividend: The Impact of Deepfakes and Fake News on Trust in Political Discourse” <https://osf.io/download/64d228b4a2be6b59fa314730/> accessed 19 July 2026. [Google Scholar] [Crossref]

29. “Statistical analysis of election results crucial for expert evidence under section 68 of Evidence Act, 2011” <Statistical analysis of election results crucial for expert evidence under section 68 of Evidence Act, 2011 | The Guardian Nigeria News - Nigeria and World News> accessed 19 July 2026. [Google Scholar] [Crossref]

30. Evidence (Amendment) Act 2023 [Google Scholar] [Crossref]

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