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Picard.law
The homepage says the company is based in Dubai and India and serves global LegalOps teams.
What it is
Picard.law provides legal document analysis through locally run open-source software and a managed cloud product for production teams. It answers questions using citations from the documents and declines to answer when the evidence is missing. Matter workspaces keep agreements and diligence materials together with shared context. Tabular review extracts information across documents and cites each cell to a page and quotation; the open-source version can also export to Excel. Picard OSS runs on one machine, stores documents locally, and uses BM25 full-text search and CARP retrieval on SQLite FTS5. Picard.law Cloud is managed on Azure and uses Neo4j GraphRAG. The homepage positions OSS for legal engineers and air-gap use, and Cloud for production legal AI teams. OSS is single-user and has no built-in authentication. Its plan has no license cost under AGPL for local development and proof of concept, but users pay model API costs with their own keys.
For and against
For
- Answers cite supporting document material.
- Matter workspaces retain context across documents.
- Tabular review cites cells to page and quote.
- OSS includes Excel export.
- Cloud data encryption is described in the privacy policy.
Against
- OSS is single-user.
- OSS has no built-in authentication.
- OSS users pay model API costs with their own keys.
The verdict
Picard.law offers a local open-source option and a managed cloud product for legal document workflows. The OSS plan has no license cost, but requires users to supply keys and cover model API costs.
Who it suits
Picard OSS is suited to legal engineers and air-gap use. Picard.law Cloud is aimed at production legal AI teams.
Plans and prices
Picard OSS
Zero license cost · AGPL for local development and proof of concept · model API costs paid with your own keys
Read 8 Oct 2026 · picard.law
Picard.law Cloud
Managed SaaS / enterprise · contact sales to book a demo
Read 8 Oct 2026 · picard.law
On the record
- Data control
- The privacy policy says users can export or delete their data, and that AI providers do not retain document content after processing.picard.law · read 8 Oct 2026
- Deployment
- Picard OSS runs on a single machine with documents stored locally, while Picard.law Cloud is managed on Azure.picard.law · read 8 Oct 2026
- Document analysis
- The product analyzes legal documents and provides chat answers grounded in citations, with a refusal when evidence is missing.picard.law · read 8 Oct 2026
- Founder
- The About page identifies Saurabh as founder and CEO and says Picard.Law was built in 2024.picard.law · read 8 Oct 2026
- Integration
- The maker says users can integrate their DMS, but does not name a specific DMS integration on the page.picard.law · read 8 Oct 2026
- Intended users
- The homepage describes OSS as suited to legal engineers and air-gap use, and Cloud as suited to production legal AI teams.picard.law · read 8 Oct 2026
- Local use limit
- Picard OSS is single-user and has no built-in authentication, according to the product comparison on the homepage.picard.law · read 8 Oct 2026
- Matter workspaces
- Matter-scoped workspaces let teams upload agreements and diligence packs and keep context across documents.picard.law · read 8 Oct 2026
- Product
- Picard.law offers locally run open-source legal AI and a managed cloud product for production teams.picard.law · read 8 Oct 2026
- Search
- Picard OSS uses BM25 full-text search and CARP retrieval on SQLite FTS5, while the cloud version uses Neo4j GraphRAG.picard.law · read 8 Oct 2026
- Security
- The privacy policy states that cloud data is encrypted at rest with AES-256 and in transit with TLS 1.3, and documents are not used to train AI models.picard.law · read 8 Oct 2026
- Support
- The homepage lists [email protected] as the Help Center contact.picard.law · read 8 Oct 2026
- Tabular review
- Tabular review extracts information across documents and cites each cell to a page and quote; the OSS version includes Excel export.picard.law · read 8 Oct 2026
