KIRA SYSTEMS (LITERA) - AI Contract Review Software
A Comprehensive Look
Kira (by Litera): AI-Powered Contract Analysis and Review
Kira is an AI-driven platform designed for contract review and due diligence in legal workflows. It leverages machine learning models trained by lawyers to handle data-intensive tasks in areas like M&A, real estate, finance, IP, and employment law. The platform processes over 450,000 documents per month across users to identify, extract, and analyze key information, reducing manual errors and accelerating reviews. It’s used by 64% of Am Law 100 firms and 84% of top 25 global M&A firms.
Identification & Extraction
Automatically detects and pulls out over 1,400+ clauses and data points (e.g., change of control, assignment, data retention) across 40+ substantive areas. Supports unlimited custom fields trained by users. Used for due diligence in M&A deals and spotting risks in lease agreements.
Classification & Grouping
Categorizes documents by type, language, or relevance; groups related amendments and outliers using supervised/unsupervised machine learning. Applied in organizing contract portfolios and filtering non-relevant docs in litigation prep.
Summarization
Generates concise summaries of clauses and data points using generative AI (integrated with OpenAI models via “Smart Summaries”). Useful for executive reporting and quick overviews for client advising.
Data Aggregation & Visualization
Builds queryable databases from extracted data (e.g., filter non-assignable agreements); creates heat maps, charts, and progress trackers for provision frequency/relationships. Supports risk assessment in banking/finance and collaborative team reviews.
Analysis & Export
Analyzes deviations from templates; exports in flexible formats for integration with other tools. Supports multi-language processing. Used for compliance checks and integrating insights into corporate legal ops.
Limitations
Limited to contract-focused workflows; less suited for broader eDiscovery or litigation tasks. Requires user training for custom fields to achieve optimal accuracy. May struggle with highly unstructured or niche documents. Not ideal for non-contractual legal documents or complex litigation datasets.
Pricing
Pricing not publicly disclosed; typically enterprise-level subscriptions based on document volume and user seats. Contact Litera at www.litera.com for details. Varies by firm size and usage; often negotiated for large legal teams.
Estimated Pricing
Based on industry reports and user reviews, Kira’s annual subscriptions for mid-sized law firms range from $50,000 to $150,000+, depending on the number of users, document processing volume, and custom features. Smaller firms may find it cost-prohibitive, with per-project costs adding up quickly for high-volume reviews.
Ownership
Owned by Litera (independent legal tech company); deep partnership with Microsoft (ISV for Azure AI and Copilot integrations), but not owned by Microsoft. Strategic collaborations enhance Microsoft 365 workflows without equity ownership.
Hg (formerly HgCapital), a leading global software and services investor, owns Litera. Hg acquired Litera in 2019 from K1 Investment Management, which had previously merged several document tech firms into Litera and invested over $100 million to grow it.
As of 2025, Hg manages over $75 billion in assets and invests on behalf of more than 100 institutional limited partners, including pension funds, endowments, and insurers, but these LPs do not hold ownership in the firm itself
Founded
Kira Systems was founded in 2011 in Toronto, Canada, by Noah Waisberg (former corporate lawyer) and Dr. Alexander Hudek (machine learning expert). It was acquired by Litera in 2021.
Headquarters
Headquartered in Chicago, Illinois (Litera’s headquarters, post-acquisition). Kira Systems originally operated from Toronto, Canada. Litera employs approximately 900 employees globally, with an estimated 100–150 dedicated to Kira’s operations, though exact numbers for Kira alone are not publicly specified.
Kira’s AI is built on a database of over 1 million documents and 40,000+ lawyer hours, ensuring high accuracy without relying on simple keyword searches.