Kira (now part of Litera) is the contract intelligence platform that turned M&A due diligence from a junior associate nightmare into a structured, searchable process. It uses machine learning to extract and analyze clauses across thousands of documents — and with Smart Fields, you can build custom extraction models using natural language prompts instead of waiting months for vendor training.
The numbers speak for themselves: 84% of the top 25 M&A firms and 76% of the top 50 global law firms already run Kira. When Litera added generative AI capabilities in July 2025 at no extra cost, they cemented their position as the default contract analysis layer for BigLaw deal teams.
What Kira Does
Kira ingests contracts — PDFs, scans, Word docs — and extracts specific provisions using a combination of pre-trained ML models and custom Smart Fields. You're not just searching for keywords. The system understands clause types: change of control provisions, indemnification caps, non-compete terms, assignment restrictions.
Smart Fields let you define new extraction targets with plain-language prompts. Need to find every reference to a "material adverse effect" carve-out across 3,000 agreements? Build the field in minutes, not weeks. The GenAI layer (added July 2025) enables summarization, comparison, and natural language Q&A across your document set.
Pricing
Kira doesn't publish pricing — it's custom enterprise pricing based on document volume, user count, and deployment type. Expect five-figure annual commitments minimum for mid-size firms, scaling into six figures for large deployments.
The good news: the generative AI features launched in July 2025 are included at no additional cost for existing customers. That's a significant differentiator when competitors are charging per-query AI surcharges. You'll need to talk to their sales team for a quote, but the ROI math on a single large due diligence project typically justifies the spend.
Who It's For
Kira's sweet spot is M&A due diligence at scale. If your firm handles transactions involving hundreds or thousands of contracts — lease reviews, portfolio acquisitions, corporate restructurings — this is the tool.
It's also increasingly used by in-house legal teams doing contract migrations, regulatory compliance reviews, and legacy portfolio analysis. Corporate legal departments at Fortune 500 companies use it to audit thousands of supplier agreements against new regulatory requirements. If you're reviewing more than 50 contracts in a single project, Kira starts saving real money.
What It's Not Good At
Kira isn't a CLM (contract lifecycle management) tool. It doesn't draft contracts, manage workflows, or handle approvals. It's a review and extraction engine — powerful at what it does, but you'll need separate tools for the full contract lifecycle.
It's also overkill for small firms or practices that don't do volume document review. If you're handling 10 contracts a month, you don't need Kira. The enterprise pricing and implementation timeline (weeks to months) make it impractical for solos or small practices. And if your work is primarily litigation rather than transactional, other tools are better fits.
The Verdict
Kira earned its dominance in M&A due diligence for a reason: it's accurate, customizable, and now includes generative AI at no extra charge. The Smart Fields feature alone justifies evaluation — the ability to build custom extraction models with prompts instead of training data changes the flexibility equation entirely.
The Litera acquisition gives Kira deeper integration with the document management and collaboration tools firms already use. If your practice involves high-volume contract review, Kira isn't just a nice-to-have — it's the standard the rest of the market is measured against.
The Bottom Line: Kira is the gold standard for M&A contract intelligence — if you're doing high-volume due diligence, it's the tool 84% of top firms already chose for a reason.
AI-Assisted Research. This piece was researched and written with AI assistance, reviewed and edited by Manu Ayala. For deeper takes and the perspective behind the research, follow me on LinkedIn or email me directly.
