BotMaker
A WhatsApp automation workspace that brings configurable bot behavior, workflow design, and operational management into one SaaS dashboard.
Explore BotMakerAI-assisted legal technology
Maagar Mishpati
A legal knowledge workspace that connects mixed case documents, local-first retrieval, and answers with a visible path back to their evidence.
Engineering illustrationDOCUMENTS · KNOWLEDGE · SOURCES
Project status
Built
Technology stack
Engineering focus
Find the answer. Keep the source within reach.
Maagar Mishpati connects document research with the evidence behind it. Local embeddings, hybrid retrieval, and a structured evidence ledger support research across actors, places, events, and facts—while preserving links back to case material.
01 / Context
An answer must remain connected to the case material.
Legal research involves connecting people, places, events, and facts across mixed documents. A useful answer must preserve the relationship to the evidence behind it, especially when a question depends on exact counts or relationships spread across a case folder.
02 / The system
A searchable knowledge layer, with evidence close at hand.
Maagar Mishpati turns PDFs, Word documents, spreadsheets, and message exports into a searchable knowledge layer. Local embeddings and hybrid retrieval connect a research question with relevant case material; a language model writes the final answer. Source-linked facts and an evidence ledger support research that needs a path back to the documents, including structured counting questions.
03 / Capabilities
Document research built around retrieval and provenance.
Mixed-document knowledge
Research spans PDFs, Word files, spreadsheets, and message exports within case folders.
Local-first retrieval
Local embeddings and hybrid retrieval connect a question with relevant case material before the final answer is written.
Evidence that stays connected
Source-linked facts and an evidence ledger preserve a path from research output back to the documents behind it.
04 / System map
From a case folder to a source-linked answer.
This conceptual sequence explains how the project’s main capabilities connect.
Build the case knowledge
Mixed case documents feed a knowledge layer of entities, events, and facts.
Retrieve relevant material
Local embeddings and hybrid retrieval support the research query.
Compose the answer
The language model writes from the retrieved material.
Follow the evidence
Source links and the evidence ledger keep the research connected to case documents.
05 / Scope & status
Current project scope.
The desktop application is built and awaiting its next deployment opportunity.
For questions about this project or its relevance to your organization, contact admin@psiphas.org.
Continue exploring
Related systems.
O.M.E.G.A
A unified Active Directory workspace for guided administration, operator-based permissions, and traceable enterprise identity operations.
Explore O.M.E.G.ABuild on a solid foundation
Get in touch