Legal AI that holds up — in the languages courts actually use.
Multilingual legal-document, contract and judgment data — annotated by domain experts for legal-AI products that can't afford to hallucinate.
Contract review, case research and compliance copilots fail when they meet a Hindi cause-list, a Tamil judgment or a code-mixed affidavit. We build the expert-annotated, rights-cleared legal data — across Indian languages and document types — that legal-AI products need to be trusted.
What teams in Legal are up against
Legal language is adversarial to generic models, and doubly so outside English:
- Hallucination is unacceptable. A wrong citation or misread clause isn't a UX nit — it's malpractice risk. Models need expert-grade ground truth.
- Indian legal text is multilingual and messy. Judgments, pleadings and cause-lists span English, Hindi and regional languages, often code-mixed and scanned.
- Annotation needs real expertise. Clause typing, entity extraction and obligation tagging require legally-trained annotators, not a generic crowd.
- Confidentiality is paramount. Legal documents demand strict access control, de-identification and a defensible chain of custody.
Compliance & residency
Legal data work carries heightened privacy and confidentiality duties:
- DPDP Act, 2023 — parties, witnesses and PII de-identified with documented SOPs.
- Privilege & confidentiality — access-controlled handling and NDAs for sensitive matters.
- India-residency option — in-country processing and storage for regulated firms and government legal departments.
How we solve it
Expert-annotated legal data, built for trust
Domain-trained annotators, calibrated rubrics and defensible provenance — for contract, litigation and compliance AI.
-
Document & judgment annotation
Clause typing, entity and obligation extraction, and structure labeling across contracts, judgments and pleadings — by legally-trained annotators.
Data annotation -
Expert Q&A & gold sets
SME-authored question-answer and instruction data for legal reasoning, where shallow or wrong answers carry real risk.
SFT gold-standard data -
Multilingual legal collection
Consented, rights-cleared legal-language data across Indian languages and document formats, including scanned and code-mixed sources.
Multilingual data collection -
Legal-reasoning evaluation
Evaluation sets that test citation accuracy, clause comprehension and multilingual legal reasoning before you ship.
Cultural & cross-lingual evaluation
Proof
Why teams trust us with this vertical
- Indian languages across legal document types
- 10+
- IAA on clause & entity annotation
- ≥ 0.85
- rights-cleared & de-identified
- 100%
Indian languages across legal document types
IAA on clause & entity annotation
rights-cleared & de-identified
documented chain of custody
Go deeper
Datasets and services for this vertical
Jump straight into the catalog filtered for this domain, or scope a custom program.
-
Browse the dataset catalog
See rights-cleared, documented datasets filtered to this vertical — or commission a custom set.
View datasets -
Explore our services
End-to-end collection, annotation, RLHF/DPO, evaluation and safety — applied to your use case.
All services -
Keep it sovereign
India-resident collection, annotation and storage for regulated and government-grade programs.
Sovereign Data
FAQ
Legal — common questions
- Do you use legally-trained annotators?
Yes. Clause typing, entity extraction and obligation tagging are done by annotators with legal training, on calibrated rubrics with two-pass QA. See Data Annotation.
- How do you handle confidential legal documents?
Access-controlled handling, NDAs, DPDP-aligned de-identification and a documented chain of custody, with an India-residency option.
- Can you work across Indian languages and scanned documents?
Yes — across English, Hindi and regional languages, including code-mixed and scanned sources. Explore legal datasets or commission a custom set.
Build an AI data program for Legal.
Tell us your languages, modalities and use case — we'll scope a rights-cleared, documented data program and a delivery schedule.
Where our data services apply
-
Multilingual Data Collection
Native-speaker audio, video, image and text collection across Indic, African and low-resource languages — field-grade, consented, documented.
Explore the service -
Data Annotation
Speech, NLP, CV and multimodal annotation at IAA ≥ 0.85 with two-pass QA — built for foundation-model SLAs.
Explore the service -
SFT Gold-Standard Data
High-quality prompt/response curation for supervised fine-tuning — vetted by linguistic SMEs, not crowd-sourced noise.
Explore the service -
Cultural & Cross-Lingual Evaluation
Evaluation for honorifics, code-mix, idioms, caste-safety and pragmatic correctness — beyond translated MMLU.
Explore the service