Litify
The legal operating system built on Salesforce for high-growth firms and corporate departments.
Enterprise-grade contract analysis and data extraction powered by patented machine learning.
Kira Systems, now a core component of the Litera ecosystem, represents the gold standard in AI-driven contract analysis for M&A due diligence and regulatory compliance. Its technical architecture is built upon patented machine learning algorithms designed specifically to identify, extract, and analyze text in unstructured documents, even when the data is trapped in low-quality scans or complex tables. By 2026, Kira has solidified its market position by integrating generative AI capabilities with its traditional discriminative ML models, allowing users to not only extract clauses but also query them using natural language. The platform's 'Quick Study' feature remains a unique differentiator, enabling non-technical legal professionals to train custom extraction models with as few as 20-50 examples. Kira’s infrastructure is optimized for high-volume processing, capable of handling thousands of documents simultaneously with enterprise-grade security protocols. Its position in the 2026 market is characterized by deep integration into the legal tech stack, bridging the gap between raw document storage and actionable business intelligence for global law firms and Fortune 500 legal departments.
A proprietary supervised machine learning framework that allows users to train new extraction models without writing code.
The legal operating system built on Salesforce for high-growth firms and corporate departments.
The Industry Gold Standard for Legal Table of Authorities and Document Styling Automation.
Automated legal intelligence and risk scoring for the modern enterprise.
Compiling Law into Code: The world's first open-source domain-specific language for computational law.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Custom-built optical character recognition engine optimized for legal document layouts and poor scan quality.
Over 1,400 pre-trained models for identifying standard clauses across various jurisdictions.
Unsupervised learning algorithms that group similar documents to identify outliers and common templates.
LLM-powered conversational interface for querying the extracted data lake in natural language.
Cryptographically secure logging of every user interaction and extraction modification.
NLP support for 20+ languages including CJK (Chinese, Japanese, Korean) and major European languages.
Manually reviewing thousands of contracts during an acquisition takes weeks and is prone to human error.
Registry Updated:2/7/2026
Real estate firms need to extract critical dates and financial obligations from thousands of commercial leases.
Accounting standard changes require companies to identify all lease liabilities in their contracts.