Pick a tribunal, a ponente, a topic, and a date range. JurisLens pulls the sentences from CENDOJ, extracts what matters, runs the statistics, and gives you a peer-reviewable report — with every claim cited back to the original ruling.
Free tier · No card · Academic plan free with .edu
The problem
Researchers have already shown that the gender of a Spanish judge can shift sentence length by months, and that custody win probabilities skew by who's on the bench.
But every one of those studies took a PhD, a year, and a research grant. Nobody else can verify the result. Nobody else can ask the same question about their court.
JurisLens turns a year of work into a five-minute query.
How it works
Court, ponente, materia, date range. Pick the axis of bias you want to test — defendant gender, plaintiff gender, judge gender, nationality.
We pull matching sentences from CENDOJ, cached and rate-limited. Every PDF is stored so the study is fully reproducible.
Regex pulls structured metadata. An LLM classifies parties, charges, and language framings — with citations to the source paragraph.
Chi-square, t-tests, logistic regression — all deterministic, in code. p-values, effect sizes, confidence intervals. No LLM-invented numbers.
What you get
"No statistically significant disparity detected across 412 sentences (p = 0.18)."
"Tendency observed but sample too small. Need ~280 more rulings to reach significance."
"Female defendants receive sentences 3.5 months longer for comparable charges (p = 0.002, n = 412, Cohen's d = 0.41)."
Every report stores the exact query, source hash, and code version. Anyone can rerun and get identical numbers.
LLM classifications cite the source paragraph. Statistics never touch the LLM — they run in deterministic code.
Targeted, non-commercial research access. Respectful rate limits. Built within CENDOJ's terms of use.
Free tier includes 2 studies a month, up to 50 sentences each. No card required.