The Kingdom of Lesotho has no AI-specific law and no adopted AI strategy, only a draft AI policy validated in 2025. For a small landlocked kingdom with almost no domestic AI governance, that confirmed founding seat is the profile's centre of gravity.
The shape is among the sparsest in the field: nothing AI-specific is in force, a draft AI policy sits in the draft tier, and the binding tier is general law an AI dispute would meet, with patents running regionally.
Lesotho's data-protection statute and the general law most likely to reach an AI harm, on paper. It sets controller duties and data-subject rights, but the supervisory commission it creates has never been constituted, so the act is largely unenforceable, and it carries no automated-decision or profiling provision.
Source: Lesotho gazette; LesLIIThe telecommunications and broadcasting framework and the regulator, the general regime a networked AI service operates within.
Source: LesLIIThe authorship framework. It protects authors of original works by the sole fact of their creation, an implicitly human author, and carries no computer-generated-works provision. Its free-use exceptions are a closed enumerated list with no text-and-data-mining exception, and protection runs for life plus fifty years.
Source: ARIPO; WIPO LexThe patent and design framework. The right to a patent belongs to the inventor, a natural person, and a patent granted through the African Regional Intellectual Property Organization designating Lesotho has the same effect as a domestic grant. No AI-inventorship provision.
Source: WIPO Lex; LesLIIThe prospective AI policy, validated alongside broadband and data-management policies, which itself records that Lesotho has no AI-specific legislation or coordinated governance framework. Draft, not binding.
Source: government and press recordsThe prospective cybercrime and cybersecurity law. Its in-force status could not be confirmed, a later bill suggesting the earlier track was not finalized, so it is recorded as draft.
Source: parliament recordsConfirmed founding member; signed in Shanghai 16 Jul 2026 by the Minister of Foreign Affairs and International Relations, Limpho Tau, for the Government of Lesotho; Lesotho among the twenty-nine founding states. Official source: Chinese release and Lesotho reporting.
Adopted by the AU Executive Council July 2024; Lesotho an AU member. Official source: au.int.
Adopted 2021, as a UNESCO member; no readiness assessment confirmed. Official source: unesco.org.
Adopted by consensus 22 Sep 2024; applies to Lesotho as a UN member. Official source: A/RES/79/1 annex, un.org.
Adopted by consensus in 2024; Lesotho bound as a UN member; no co-sponsorship confirmed. Official source: UN records.
Axes: specificity (x, 0-100) is how squarely the instrument is written for AI; force (y, 0-100) is how hard it binds. Placements are editorial judgments for the comparison plot; the tier column is the authoritative classification. The pattern is stark: every in-force instrument sits at the low-specificity end, because nothing in Lesotho is yet written for AI, and the data statute sits low on force because it is unenforced.
Tap a marker
The binding and prescriptive corner is the crowded one: the CAC-led measures put force and detail together, service by service. The sector guidance sits just left of the binding line, nonbinding in form but treated as obligatory. Dashed markers are drafts; the National AI Law would consolidate the whole stack into one statute.
No adjudicated court case where artificial intelligence is materially at issue was found in Lesotho, and no dedicated deepfake offence with a citable article exists. Lesotho has limited public judgment access, so a non-public matter cannot be ruled out, but nothing is reported and no Lesotho-specific AI incident surfaced. Per the fabrication screen, no case number is invented.
Portals and sweeps: WIPO Lex and the ARIPO pages; the LesLII judgment database; Lesotho media of record. Lesotho provides limited public judgment access.
Lesotho's 1989 orders confine authorship and inventorship to human makers, patents run regionally through ARIPO, the free-use exceptions are closed, and there is no AI policy in force to reach the rights questions.
The AI-IP Index reads a country on two questions that usually get folded together. Accommodation asks how far the law will go to protect intellectual property that a machine helped produce. Institution asks how much administrative machinery sits behind that law: its guidance, its international submissions, its disclosure duties.
A country can be generous on paper and have built almost nothing, or cautious and highly organised, so the two are scored apart and reported as a pair. Each rests on three questions, scored 0, 0.5 or 1.
How far the law will protect intellectual property that a machine helped make.
How much administrative machinery sits behind that law.
The scale runs the same way on both axes: 0 is the open or developed end, 1 is the restrictive or absent one, and 0.5 sits between for anything conditional or untested. Read as a pair, the two scores show whether AI-assisted work can be protected here, and whether the office has said so in writing.
Within each axis the three questions carry equal weight. That is a deliberate choice, not an oversight. An AI developer might reasonably value freedom to train above patent inventorship, but weighting is where indices lose their credibility, so the score stays a flat mean and the choice is stated in the open. Each cell also cites a statute section, a case or an office page, so any single score can be challenged without disputing the rest.
Two positions are worth naming. A country can be open on the law but thin on machinery, an open-but-undeveloped stance that bets on ambiguity. Or it can be restrictive on rights yet run an active office, a restrictive-but-developed stance that reflects a settled policy choice rather than a gap. The pair of scores tells those two apart where a single ranking would blur them.
A rubric is only as good as the results it produces on cases where the answer is already known. These three jurisdictions sit outside this series and are scored with the same six questions, as a check. Their law is the best documented anywhere, so if the scale puts them where the law actually sits, the scale is doing its job. They are reference points, not editions.
Firm judicial settlement at both poles and the weakest statutory position on training. The courts have closed the door on AI inventors and AI authors, while everything on training rides on unresolved fair-use litigation. There is no per se duty to declare AI use in a filing, only a candour duty that bites where the use is material.
Thaler v. Vidal, 43 F.4th 1207 (Fed. Cir. 2022); Thaler v. Perlmutter (D.C. Cir. 2025), cert. denied 2 Mar 2026; Bartz v. Anthropic (N.D. Cal. 2025); USPTO revised inventorship guidance, 90 Fed. Reg. 54636 (28 Nov 2025); 89 Fed. Reg. 58128 (17 Jul 2024); 89 Fed. Reg. 25609 (11 Apr 2024).
The most permissive statutory position on training and the strongest transparency duty in force, sitting over an authorship question no court has answered. Read the label carefully: training and transparency run through EU law, but patents run through the EPO under the European Patent Convention, which is not an EU institution and covers 39 states.
Directive (EU) 2019/790, arts. 3 and 4; Regulation (EU) 2024/1689, art. 53(1)(c) and (d); EPO J 8/20 (2021); EPO Guidelines G-II 3.3.1 (2026 edition); Infopaq C-5/08; Painer C-145/10.
Liberal on patents since the Supreme Court abandoned the Aerotel test in February 2026, conservative on copyright, and currently thin on AI-specific machinery after the dedicated AI examination guidance was withdrawn. Section 9(3) nominally protects a work with no human author for 50 years, the widest AI-output right on paper, but no court has ever applied it to generative AI.
CDPA 1988 ss. 9(3), 12(7), 29A, 178; Thaler v Comptroller-General [2023] UKSC 49; Comptroller-General v Emotional Perception AI [2026] UKSC 3; UKIPO practice notice, 14 Jul 2026; Data (Use and Access) Act 2025 ss. 135 to 137.
The check earned its keep twice. The untested rule held: section 9(3) of the UK Copyright Act reads like the widest AI-output right anywhere, yet because no court has applied it to generative AI it scores as untested rather than open, which is the correct answer and the one a headline reading would miss. The check also exposed a limit worth stating. The Institution axis measures AI-specific machinery, not general office capacity, so a long-established office can score poorly when it has withdrawn its AI guidance and imposes no disclosure duty. Read that axis as what an office has built for AI, nothing wider.
Each row below carries the test we applied and the finding behind the score, with a source. The rationale, not the number, is the point.
Scores verified 21 July 2026, against AIP Index codebook v1.0. A score is only true as of its date.
What we look forA granted patent or a clearly workable examination route, not merely a silent statute.
The findingThe industrial-property order vests the right to a patent in the inventor, treated as a natural person, so an AI-assisted invention with a human inventor is open in principle while the machine cannot be named. Grants run through the regional office, no examination practice addresses AI-assisted inventions, and no DABUS-type filing has tested Lesotho.
What we look forProtection applied where human choices shape the work, and refusal of purely machine output.
The findingThe copyright order protects authors of original works by the sole fact of creation, an implicitly human author, so a human who directs an AI tool and contributes authorship can hold rights, while purely AI-generated output has no qualifying author and no route to protection. There is no computer-generated-works provision and no ruling tests the point, so it is untested.
What we look forA statutory or judicial mining lane. Silence scores against the miner, since the reserved-rights default governs.
The findingThere is no training or text-and-data-mining exception. The free-use exceptions in section 9 are a closed enumerated list, with no open fair-use clause and no mining carve-out. With copyright silent, the reserved-rights default governs the use of works for training.
What we look forA traceable, substantive submission on the record, not bare membership.
The findingLesotho is a WIPO member and an ARIPO member, but the WIPO Conversation submissions record shows no traceable submission from Lesotho or the regional office, and no substantive session participation was found. Membership without a submission earns the middle.
What we look forA standalone AI examination text, not AI handled quietly under general practice.
The findingNo dedicated guidance from the Registrar General or the regional office on examining AI-related filings was found; patents are administered through the regional route. A reasonable-search negative.
What we look forA mandatory declaration inside the filing, not a proposal or an informal request.
The findingNo filing requires declaring AI use, and no in-force instrument imposes a labeling or transparency duty on AI-generated content. There is no AI policy in force to carry such a duty.
Method. Six questions, three per axis, scored 0, 0.5 or 1 against AIP Index codebook v1.0. The three questions in each axis are weighted equally by choice, and the two axes are reported as a pair, never blended into one number. Every score cites a statute, case or office page, carries a verified date, and records its direction of travel apart from the level. Positions are editorial judgements read from primary law and office practice, not official scores. WIPO's public catalogue of IP-office AI initiatives does not score jurisdictions on this basis, so the readings here come straight from the source law. Not legal advice.
The Kingdom of Lesotho has no AI-specific law and no adopted AI strategy, only a draft AI policy validated in 2025. What governs the field is general law, and even that is thinly enforced: a data-protection act of 2011 sits on the statute book, but the commission it creates was never appointed, so the law is largely unenforceable. The intellectual-property statutes date from 1989, confining authorship and inventorship to human makers, and patents run regionally, with a patent granted through the African Regional Intellectual Property Organization taking domestic effect by statute. Lesotho is a founding member of the World Artificial Intelligence Cooperation Organization, confirmed with a named signatory, its foreign minister having signed in Shanghai. For a small landlocked kingdom with almost no domestic AI governance, that confirmed founding seat is the profile's centre of gravity.
The site does three things: it maps every instrument that governs AI in Lesotho, 11 of them, ordered by how hard each one binds; it reads the same instruments a second time by how squarely each is written for AI; and it records the matters where AI meets the law, with what was searched and found empty stated as plainly as what was found. Every claim traces to a primary source, and absences are recorded rather than papered over.
A membership claim enters this table only from an official list: a declaration annex, a treaty signature table, an organization's own record or an official government statement. Lesotho's standout credential is a founding seat in the AI cooperation organization confirmed with a named signatory.
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