Supplementary Material This website is the interactive supplement for the IEEE VIS 2026 submission: “A Survey of Data Visualization for Legal Interpretation”

A Survey of Data Visualization for Legal Interpretation

Ebube G. Ogbonda, Sarah Nason, Jonathan C. Roberts, Peter W. S. Butcher

Interactive supplementary material for the IEEE VIS 2026 submission.

Interactive Table 1 and 2 Extended Table 3 analysis Source data download
Download Dataset (.xlsx)

Paper Matrix

51 publications across 31 categories · Interactive version of Table 2 (paper)

Showing 51 of 51

Interactive: Click any row to view paper details · Click column headers for category descriptions · Use quick filter pills or the search bar to filter

Summary by Period

Publication counts compressed into six time bins · Interactive version of Table 3 (paper)

Interactive: Click any row to expand top categories and paper list · Click number cells to see which papers contribute to each count

Statistical Analysis

K-means clustering (k=9) with validation metrics and cluster profiling · Extends Statistical Analysis (paper)

Interactive: Click metric cards for details · Click cluster bars for paper lists · Click timeline segments to see contributing papers

Cluster Distribution (C1–C9)

Cluster Timeline

Cluster Profiles (C1–C9)

Taxonomy of nine clusters grouped into five categories · Interactive version of Table 1 (paper)

Interactive: Click any row for full taxonomy context, themes, key papers, and insights

Methodology

Paper selection, screening, and coding process

PRISMA 2020 Flow Diagram

Systematic review selection process following PRISMA 2020 guidelines

Open Full Diagram (PDF)

Search Strategy

Keyword-based search across Scopus, Web of Science, and IEEE Xplore (Jan 2013 – Jun 2025). Terms included "legal visualization", "visual analytics in law", "legal informatics", and related phrases.

Inclusion and Exclusion Criteria

Included: peer-reviewed, published 2013 or later, clearly discusses visual representations used for legal interpretation with real-world implementation.

Excluded: pre-2013, non-peer-reviewed, dummy data only, no visualization figures, or purely theoretical without practical application.

Data Extraction and Coding Scheme

Each of the 51 papers was coded across 31 categories spanning four dimensions:

Visualization Type
Flowcharts, Timelines, Mind Maps, Concept Maps, Treemaps, Node-Link, Iconography, Comics, 3D Viz, 2D Viz, Other
Data Types
Textual, Relational, Structural, Semantic, Quantitative, Multimedia, Conceptual, Semiotic
Audience
Legal Experts, Lay Users, Students, Researchers
Areas of Law
Contract, Data Protection, Criminal, Common Law, Administrative, IP, Procedural, Digital Law

Reproducibility and Source Data

Dataset construction, verification, and download

Dataset Construction

51 publications were manually coded across 31 categories using a standardised extraction matrix applied uniformly by a single reviewer. Categories and definitions are described in the paper.

Clustering Analysis

K-means (k=9, selected via silhouette score and elbow method) was applied to the 51 x 31 binary feature matrix. PCA and t-SNE were used for 2D projection. Validation metrics and cluster assignments are shown in the Statistical Analysis section.

Source Data Download

The downloadable file is the source text analysis spreadsheet used in the systematic review (primary human-coded dataset).

Download Dataset (.xlsx)