Kira (by Litera)
AI contract intelligence for due diligence and document review.
Overview
Kira started as a standalone contract intelligence platform and is now part of Litera, a legal technology group. 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 90 percent accuracy on extraction tasks. 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 HighQ, Intralinks, and Litera Transact 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.
Key facts
- Starting price
- Custom pricing
- Pricing model
- custom
- Free trial
- No
- Free tier
- No
- Deployment
- cloud
- Geography
- US, UK, CA, EU, AU, global
- Works with
- excel
- Last verified
- 2026-04-20
Pricing
No public pricing. Kira (by Litera) quotes directly.
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Last verified 2026-04-20. Pricing and features come from vendor-published specs. See our methodology.