Kallam.ai provides an AI-powered document structuring and analysis platform built specifically for legal disputes and arbitration teams. The platform automatically reads, dates, titles, and classifies case documents, builds factual chronologies, and enables semantic search across the entire matter. It also includes agentic workflows for tasks like claims summarization and memorial drafting, with strict matter isolation and EU data residency.
- Artificial Intelligence
- AI Agents
- Legal Technology
- Software Only
Funding
Founders
Product
Problem
Disputes and arbitration matters arrive as large, unsorted bundles of documents, forcing legal teams to spend significant time on manual sorting, dating, and structuring before substantive casework can begin. This early-case cleanup consumes billable hours and delays analysis and strategy development.
Solution
Kallam.ai provides an AI-powered document structuring layer for disputes teams, automating the groundwork so lawyers can move directly to analysis. The platform reads every page of uploaded case files, automatically extracting dates, writing titles and summaries, and classifying documents without human review. It then connects all processed documents onto a single timeline by extracted date, making the sequence of events immediately visible. Kallam's agents also handle delegated tasks like compiling claims summaries with cited evidence and drafting memorial sections, while its semantic search surfaces relevant passages across the entire corpus. The platform is built with strict matter isolation, ensuring no document or fact crosses between cases, and is hosted in the EU with enterprise-grade security.
Target Audience
Primary users are disputes lawyers, arbitration teams, and legal professionals at law firms handling international arbitration, litigation, and other document-heavy matters.
Features
- Automatic document structuring: dates, titles, summaries, and classifications extracted from content without manual review
- Factual Chronology: all documents placed on a single timeline by extracted date with sourced facts and page-level citations
- Semantic search ("Finder"): keyword and meaning-based search across the whole case, with ranked, highlighted results linked to source pages
- Agentic workflows: delegated tasks such as claims summarization with evidence mapping and memorial drafting with automatic exhibit renumbering
- Matter isolation: each case operates as an independent dataroom with no cross-matter data flow
- EU data residency: hosted on Microsoft Azure in the EU, with AES-256 encryption at rest and TLS 1.2+ in transit