londonaicentre · martinchapman · Aug 13, 2026 · Aug 13, 2026 · Aug 13, 2026 · Aug 13, 2026
diff --git a/README.md b/README.md
@@ -113,7 +113,3 @@ Most folders are self-contained python packages, allowing for the selective rele
 - Create a tag for the merge commit referencing the version increment
 
 - Build and push the package to pypi (`python -m build` and `uv run twine upload -r pypi dist/*`), or rely on CI/CD for this
-
-## License
-
-This project uses a proprietary license issued by Guy's and St Thomas' NHS Foundation Trust, enabling free (non-commercial) use by NHS organisations. See LICENSE files for details.
diff --git a/lib/datagen/LICENSE.md b/lib/datagen/LICENSE.md
diff --git a/lib/datagen/README.md b/lib/datagen/README.md
@@ -55,3 +55,8 @@ See [examples](examples/).
         input_folder =
     )
     ```
+
+## License
+
+londonaicentre-mesa-datagen © 2026 by London AI Centre is licensed under CC BY-NC-ND 4.0.
+To view a copy of this license, visit <https://creativecommons.org/licenses/by-nc-nd/4.0/>
diff --git a/lib/datagen/examples/aws/batch/LICENSE.md b/lib/datagen/examples/aws/batch/LICENSE.md
diff --git a/lib/datagen/examples/aws/batch/README.md b/lib/datagen/examples/aws/batch/README.md
@@ -36,3 +36,8 @@ uv run python upload.py
 
 - Batch inference is substantially cheaper than real-time inference for large volumes, but jobs can take several hours to complete.
 - The job ID is persisted in `.job_id.json` so `extract.py` knows where to find the output in S3.
+
+## License
+
+docgen-aws-batch-example © 2026 by London AI Centre is licensed under CC BY-NC-ND 4.0.
+To view a copy of this license, visit <https://creativecommons.org/licenses/by-nc-nd/4.0/>
diff --git a/lib/datagen/examples/aws/batch/pyproject.toml b/lib/datagen/examples/aws/batch/pyproject.toml
@@ -2,6 +2,7 @@
 name = "docgen-aws-batch-example"
 version = "0.1.0"
 requires-python = ">=3.12"
+license = "CC-BY-NC-ND-4.0"
 dependencies = [
     "londonaicentre-mesa-datagen",
     "londonaicentre-oncoschema==2.0.2",

diff --git a/lib/datagen/examples/aws/llm/LICENSE.md b/lib/datagen/examples/aws/llm/LICENSE.md
diff --git a/lib/datagen/examples/aws/llm/README.md b/lib/datagen/examples/aws/llm/README.md
@@ -30,4 +30,9 @@ uv run python upload.py
 ## Notes
 
 - Running `generate.py` is billable — it makes one real-time Bedrock inference call per document.
-- `generate()` is resumable: documents whose deterministic output file already exists are skipped, so re-running only fills in missing samples.
+- `generate()` is resumable: documents whose deterministic output file already exists are skipped, so re-running only fills in missing samples.
+
+## License
+
+docgen-aws-example © 2026 by London AI Centre is licensed under CC BY-NC-ND 4.0.
+To view a copy of this license, visit <https://creativecommons.org/licenses/by-nc-nd/4.0/>
diff --git a/lib/datagen/examples/aws/llm/pyproject.toml b/lib/datagen/examples/aws/llm/pyproject.toml
@@ -2,6 +2,7 @@
 name = "docgen-aws-example"
 version = "0.1.0"
 requires-python = ">=3.12"
+license = "CC-BY-NC-ND-4.0"
 dependencies = [
     "londonaicentre-mesa-datagen",
     "londonaicentre-oncoschema==2.0.2",

diff --git a/lib/datagen/examples/gemini/LICENSE.md b/lib/datagen/examples/gemini/LICENSE.md
diff --git a/lib/datagen/examples/gemini/README.md b/lib/datagen/examples/gemini/README.md
@@ -38,3 +38,8 @@ uv run python upload.py
 
 - Running `generate.py` is billable — it makes one real-time Gemini inference call per document.
 - Run scripts from this directory so `load_dotenv()` finds the local `.env`.
+
+## License
+
+docgen-gemini-example © 2026 by London AI Centre is licensed under CC BY-NC-ND 4.0.
+To view a copy of this license, visit <https://creativecommons.org/licenses/by-nc-nd/4.0/>
diff --git a/lib/datagen/examples/gemini/pyproject.toml b/lib/datagen/examples/gemini/pyproject.toml
@@ -2,6 +2,7 @@
 name = "docgen-gemini-example"
 version = "0.1.0"
 requires-python = ">=3.12"
+license = "CC-BY-NC-ND-4.0"
 dependencies = [
     "londonaicentre-mesa-datagen",
     "londonaicentre-oncoschema==2.0.2",

diff --git a/lib/finetune/examples/aws/LICENSE.md b/lib/finetune/examples/aws/LICENSE.md
diff --git a/lib/finetune/examples/aws/README.md b/lib/finetune/examples/aws/README.md
@@ -42,3 +42,8 @@ This downloads the adapter, merges it with the base model, and uploads the unpac
 ## Notes
 
 - Running `run_example.py` is billable - it starts a `ml.g5.xlarge` training job.
+
+## License
+
+finetune-aws-example © 2026 by London AI Centre is licensed under CC BY-NC-ND 4.0.
+To view a copy of this license, visit <https://creativecommons.org/licenses/by-nc-nd/4.0/>
diff --git a/lib/finetune/examples/aws/pyproject.toml b/lib/finetune/examples/aws/pyproject.toml
@@ -2,6 +2,7 @@
 name = "finetune-aws-example"
 version = "0.1.0"
 requires-python = ">=3.12"
+license = "CC-BY-NC-ND-4.0"
 dependencies = [
     "londonaicentre-mesa-finetune",
     "londonaicentre-oncoschema==2.0.2",

diff --git a/lib/finetune/examples/mlx/LICENSE.md b/lib/finetune/examples/mlx/LICENSE.md
diff --git a/lib/finetune/examples/mlx/README.md b/lib/finetune/examples/mlx/README.md
@@ -37,4 +37,9 @@ uv sync                      # installs mlx + mlx-lm too (Apple Silicon only, vi
 uv run python run_example.py
 ```
 
-This prepares the data, trains a LoRA adapter locally, fuses it into the base model, and uploads the unpacked merged model to the build bucket under `models/qwen-onco-mlx-example/qwen-onco-mlx-example_1_0_0/`. The fused model is left locally at `data/models/qwen-onco-mlx-example/target/*.safetensors`.
+This prepares the data, trains a LoRA adapter locally, fuses it into the base model, and uploads the unpacked merged model to the build bucket under `models/qwen-onco-mlx-example/qwen-onco-mlx-example_1_0_0/`. The fused model is left locally at `data/models/qwen-onco-mlx-example/target/*.safetensors`.
+
+## License
+
+finetune-mlx-example © 2026 by London AI Centre is licensed under CC BY-NC-ND 4.0.
+To view a copy of this license, visit <https://creativecommons.org/licenses/by-nc-nd/4.0/>
diff --git a/lib/finetune/examples/mlx/pyproject.toml b/lib/finetune/examples/mlx/pyproject.toml
@@ -2,6 +2,7 @@
 name = "finetune-mlx-example"
 version = "0.1.0"
 requires-python = ">=3.12"
+license = "CC-BY-NC-ND-4.0"
 dependencies = [
     "londonaicentre-mesa-finetune[mlx]",
     "londonaicentre-oncoschema==2.0.2",

diff --git a/lib/finetune/pyproject.toml b/lib/finetune/pyproject.toml
@@ -8,7 +8,7 @@ authors = [
 ]
 version = "1.0.0"
 requires-python = ">=3.12"
-license = "CC-BY-NC-ND-4.0"
+license = "LicenseRef-Proprietary"
 dependencies = [
     "londonaicentre-mesa-utils",
     "londonaicentre-mesa-datagen",