Kira (by Litera)

Most due diligence review tools treat contracts as flat documents to search. Kira treats them as structured data: its machine learning models, trained on millions of contracts, extract specific clauses, defined terms, and risk indicators from large contract sets for mid-sized accounting firms running M&A, real estate, or financing due diligence. Now part of Litera, the core function has not changed: machine learning models trained on millions of contracts identify and extract specific provisions, defined terms, and risk indicators from large document sets faster than a manual read-through.

For accounting firms, the main use case is transaction support. On M&A deals, real estate transactions, and financing arrangements, teams often need to review hundreds of agreements and pull out financial obligations, change-of-control clauses, material adverse change provisions, or related-party terms. Kira's Smart Fields let users define custom extraction targets using natural language prompts, so the tool can be tailored to a firm's specific review checklist rather than a generic set of fields.

The vendor reports over 95 percent precision on target provisions, with 1,400 lawyer-trained extraction fields available out of the box. The platform uses a multi-layer AI approach that combines trained models with generative AI. GenAI features can be turned off per project for engagements where governance requirements restrict their use.

Kira works with Microsoft 365, Litera Transact, HighQ, and Intralinks and offers an open API. Data residency options cover the US, Canada, Europe, and Asia Pacific.

Pricing is not published. Kira uses a custom licensing model; contact Litera for a quote. No free trial is available.

Kira suits mid-sized accounting firms that run regular transaction advisory or due diligence engagements. It is primarily a legal-market tool, but accounting teams doing advisory work on deals will find it directly applicable.