Freehold, RERA, tenure and conversion, joint-family interests and minors’ shares, interpreting what they mean for the title.
100 real Indian title-verification matters. Five AI models.Terra Black T2 scored 0.891 overall and ranked #1 - ahead of every frontier model tested.
LANDEED PROPERTY INTELLIGENCE BENCH · 100 REAL INDIAN PROPERTY MATTERS
A title-verification report must do more than extract facts - it must connect the evidence, interpret its implications, and reach a defensible conclusion. So we benchmarked 100 real Indian matters against one fixed legal rubric, applied consistently across every model.
The leaderboard
Across 100 title matters, Terra Black T2 scored 0.891, the highest macro score among the five models tested.
macro score - mean criterion pass-rate across 100 title matters
The average scores are close. The all-pass test is less forgiving.
Where Terra leads
The field is strong at extracting facts from property documents. Terra Black T2’s advantage appears where the work requires applying Indian property law and reaching a judgment, while remaining competitive across the rest of the title-verification workflow.
Pass rate across eight legal dimensions · 100 real Indian title property cases.
| Dimension | Terra Black T2 | Sonnet-5 | Gemini-3.6 | Opus-4.8 | GPT-5.6 |
|---|---|---|---|---|---|
| Statutory & tenure | 0.888 | 0.757 | 0.846 | 0.771 | 0.682 |
| Mortgage & security | 0.797 | 0.716 | 0.691 | 0.703 | 0.686 |
| Chain of title | 0.888 | 0.880 | 0.888 | 0.798 | 0.810 |
| Documents scrutinized | 0.938 | 0.938 | 0.926 | 0.907 | 0.895 |
| Title opinion & recommendations | 0.880 | 0.770 | 0.950 | 0.760 | 0.320 |
| Encumbrances & liens | 0.884 | 0.919 | 0.849 | 0.860 | 0.907 |
| Parties | 0.924 | 0.931 | 0.768 | 0.920 | 0.720 |
| Property identification | 0.893 | 0.917 | 0.938 | 0.930 | 0.909 |
Highest score in each dimension shown in bold. Report structure scored 1.000 for all five and is omitted as a non-differentiator.
Freehold, RERA, tenure and conversion, joint-family interests and minors’ shares, interpreting what they mean for the title.
Assessing whether the property can support a valid and enforceable mortgage.
Case by case
Across 100 title matters, Terra Black T2 matched or beat each model on a majority of cases and scored higher on average in every head-to-head comparison.
Terra vs.GPT-5.6
Terra vs.Opus-4.8
Terra vs.Gemini-3.6
Terra vs.Sonnet-5
Speed & quality
Terra Black T2 generates a complete title-verification report in ~4 minutes in production, while posting the benchmark’s highest score at 0.891. High-quality property intelligence doesn’t have to mean a long wait.
Robustness & scale
The benchmark used real title-verification matters spanning large, complex document sets.On one of the benchmark’s hardest matters, Terra Black T2 scored 0.833, the highest of the systems tested.
File size is shown as a description of the workload, not as a measure of legal difficulty.
On the single hardest case (~129 MB), Terra produced the highest score of the five systems tested. On the largest case by file size (~110 MB), a frontier model led and Terra trailed at 0.733.
Methodology & disclosure
All five models were evaluated on the same 100 title matters, against the same fixed legal rubric, using the same criterion-level scoring process.
Every title matter was scored criterion by criterion against the same legal rubric.
Each requirement was scored independently, then aggregated into matter-, dimension- and benchmark-level scores.
A separate model evaluated every output against the same rubric at temperature 0.
One evaluated output per system, per title matter. No best-of-N selection.
Internal benchmark
We benchmarked Terra Black T2 on 100 real title-verification matters. Now try it on one your team knows well and compare the evidence it finds, the analysis it produces, and the opinion it reaches.
Test Terra on a property case →