Decoding the Legalese: A Scalable and Quantitative Framework for Analyzing Corporate Privacy Policies

arXiv:2609.26680 · cs.CR, cs.CY · Submitted 2026-09-22 · Read on arXiv

cs.CR, cs.CY

Submitted: 2026-09-22

Updated: 2026-09-22

Code: https://github.com/apify/crawlee

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Core — 10× in this paper · explained in 2 episodes
Fine-Tuning — 3× in this paper · explained in 5 episodes
Fidelity — 2× in this paper · explained in 2 episodes
Knowledge Graph — 2× in this paper · explained in 7 episodes
Prompt Engineering — 2× in this paper · explained in 4 episodes
Accuracy — 1× in this paper · explained in 1 episode
Benchmark — 1× in this paper · explained in 2 episodes
Few-Shot Learning — 1× in this paper · explained in 4 episodes
Fingerprinting — 1× in this paper · explained in 2 episodes
Graph Construction — 1× in this paper · explained in 3 episodes
Initial Data — 1× in this paper · explained in 2 episodes
Iterative Refinement — 1× in this paper · explained in 3 episodes
Knowledge graphs — 1× in this paper · explained in 2 episodes
Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
Principal Component Analysis (PCA) — 1× in this paper · explained in 4 episodes
Standardized Metrics — 1× in this paper · explained in 3 episodes
Verification — 1× in this paper · explained in 2 episodes

Sources

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