Contract review and due diligence extraction with 1,400+ pre-built smart fields
Litera Kira is an AI contract analysis and due diligence tool for law firms, professional services firms and corporate legal teams.
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AI Editor ApprovedApproved and published by our AI Editor-in-Chief after full panel analysis.Litera Kira is an AI contract analysis and due diligence tool that identifies, extracts and analyses provisions from contracts and documents. Law firms, professional services firms and corporate legal teams use it to accelerate due diligence, contract review and compliance workflows. Litera describes it as purpose-built for high-volume, high-stakes review, with 1,400+ lawyer-trained extraction fields ready on day one plus fields customers train themselves, collaborative review grids for M&A, real estate, banking and finance, and governance controls over where generative AI is allowed to act. Litera claims 95%+ precision on target provisions, matching senior-lawyer accuracy — a vendor figure with no published methodology. Lito, Litera's plain-language diligence agent, runs on Kira's extraction output and is included for Kira customers at no additional charge. There is no published price, no tier and no trial: litera.com/products/kira now redirects to a shared Review capability page covering both Kira and Lito, so the product has no page of its own and access begins with a demo request. TopReviewed's six-seat AI review panel scored it 7.7/10, crediting the pre-built field library and the extraction-to-diligence workflow while flagging that the precision claim cannot be audited and that bundling leaves nothing separately priced. Owned by Litera since 2021, it best fits legal teams running high-volume M&A due diligence.
Kira Systems is a contract analysis platform that applies machine learning to help legal and business professionals review large volumes of contracts more efficiently. The software can automatically locate and extract specific clauses, provisions, and data points from uploaded documents, reducing the manual time required during due diligence, lease abstraction, regulatory compliance reviews, and other document-intensive processes.
The platform is designed for law firms, Big Four accounting and consulting firms, and in-house legal departments. It is commonly deployed during mergers and acquisitions, where legal teams must review hundreds or thousands of contracts under tight deadlines. Kira's trained machine learning models can recognize a wide range of standard contract provisions out of the box, and users can also build custom models to identify organization-specific or deal-specific language.
Kira includes tools for document uploading, clause highlighting, side-by-side document comparison, and exporting extracted data to spreadsheets or reports. Teams can work collaboratively within the platform, assigning documents and tracking review progress. The extracted information can be used to populate deal summaries or flag provisions that require attorney attention.
In terms of market positioning, Kira competes with other AI-driven contract review tools such as Luminance and Loio. It is considered an enterprise-grade solution and is typically sold to organizations that handle significant contract volumes. Kira Systems was acquired by Litera in 2021, integrating it into a broader suite of legal workflow and document management tools.
Answers natural-language questions across multiple documents at once inside the Kira Analysis Grid, returning a single cited answer grounded in source material.
Initiates quick, structured reviews using grid templates built by Litera's in-house lawyers and generates diligence reports in plain language from Kira's extraction output.
Allows users to query an entire contract set in plain language or build custom deal-specific fields, with every answer linked back to the source contract.
Surfaces critical provisions across thousands of contracts using lawyer-trained AI, with 1,400+ pre-built smart fields plus the ability to train custom fields.
Turns findings into summaries and export-ready reports automatically, eliminating manual compilation of review results.
Compares clauses, flags risks, and enables team collaboration in one review environment for M&A, real estate, and banking and finance projects, with findings connected to source documents.
Consolidates every document, clause, and version into one grid so users can ask a single question across all contracts and get a cited answer without exporting or stitching data manually.
Connects with Microsoft 365, Litera Transact, HighQ, and Intralinks so teams can work within their existing tools.
Provides oversight controls over how and where AI is applied during contract review and extraction.
Litera Kira is sold as enterprise, sales-led contract intelligence software for law firms and corporate legal departments. Litera and third-party review sites (G2, TrustRadius) confirm no public list pricing is published; pricing is custom-quoted based on firm size, number of users, deployment type (SaaS or on-premise), and which Litera product bundle (e.g., Kira, Litera One, Transact) is included. One third-party cost-estimation site (itqlick.com) speculates a starting estimate near $100/user/month with possible add-on fees for AI search/summary features, but this figure is not confirmed by Litera or by G2/TrustRadius and should be treated as an unverified third-party estimate rather than official pricing.
Litera's contract-review engine bundles Lito at no extra charge, but nothing about the price is public.
“Kira ships 1,400+ pre-built smart fields and includes Lito, Litera's plain-language diligence agent, at no additional charge. Pricing is quote-only, so procurement walks into the demo with nothing to anchor against.”
Litera includes Lito with Kira at no extra charge. Their plain-language diligence agent ships with the extraction engine, and governance controls decide where AI gets applied at all — the part a client audit actually asks about.
The case rests on volume. Kira ships 1,400+ pre-built smart fields with fields your own people train on top, and pairing predictive extraction with generative output is what the obvious alternative doesn't put together. Litera claims 95%+ precision on target provisions — make them prove that on your contracts, not theirs.
But you can't size this. No published price, no tier, no trial I could find — every route ends at a demo request, and Kira sits inside Litera's broader review capability page rather than getting one of its own, so scope only surfaces in the sales conversation. Make them quote Kira apart from the suite, pilot one M&A deal team, then decide.
Predictive extraction paired with generative output, plus per-project GenAI controls, is a combination the obvious alternative doesn't put together.
SOC 2 Type II, GDPR/DORA/NIS2 alignment and Word, Excel and PDF export limit lock-in, though contract terms stay private until you ask.
Generative Smart Fields need no labeled training data, but a demo request stands between you and first use.
1,400+ pre-built smart fields plus fields your own people train move diligence throughput, not just cost.
An Open API, HighQ and Intralinks integrations and hosting across four regions all point to a product still being built on.
Law firms who run high-volume M&A due diligence.
Teams who need a published price before opening a procurement.
Buying Kira now means buying Lito too, so governance scope is the real three-year question.
“Kira's deterministic extraction sits under Lito, the plain-language diligence agent Litera includes for Kira customers at no additional charge. That bundle widens the AI surface a firm has to govern, and there's no published price to scope it against.”
Kira and Lito are sold behind one shared Review capability page now, rather than separate product pages. A knowledge-management lead reads that packaging as the three-year commitment, not the feature list.
Lito, the plain-language diligence agent, comes with Kira at no additional charge and works inside Outlook and Word. Beneath it sits the deterministic layer: 1,400+ pre-built smart fields, plus Custom Model Training on the firm's own data that Litera says stays out of its shared models. Governance controls decide per project where the generative half runs at all — a line the single-model review tools in this category don't draw.
Litera claims 95%+ precision on target provisions, matching senior-lawyer accuracy — a vendor number, untested on your contracts. But an agent in every associate's inbox is a new AI surface your outside-counsel guidelines must cover, and quote-only pricing means you scope that work before seeing a figure.
Splitting deterministic extraction from generative answers, with a per-project switch over the generative half, is a distinct stance in legal review.
Collaborative review grids for M&A, real estate, banking and finance match how diligence teams split a data room.
Lito runs in Outlook, Word and the web, and an Open API sits alongside the HighQ and Intralinks connectors.
Lito arrives bundled and the connectors point at HighQ, Intralinks and Litera Transact, so review becomes one thread in a wider platform commitment.
1,400+ pre-built smart fields plus trainable custom fields give the extraction layer real depth before any generative work starts.
Law firms that run high-volume M&A and real estate diligence.
Small practices that need a published price before a sales call.
Zero published prices, one quote-only tier, no trial, and one bundled agent that costs nothing extra.
“Litera publishes no rate for Kira: one quote-only line, no trial, no seat figure. The only commercial fact on the page is Lito, included at no additional charge, which you can't value without a base price.”
Kira's own address now lands on a shared Litera review page. One line item, quote-only, no rate attached. I couldn't find a published price, a seat figure, or a trial. You can compare scope against the obvious alternative. You can't compare cost.
The one concrete commercial fact is Lito. Litera includes it for Kira customers at no additional charge. Free reads as savings. It isn't measurable — with no base price published, a bundled agent has no discount to show against. It isn't unbundled at renewal either.
1,400+ pre-built smart fields ship ready, plus fields your team trains. Litera claims 95%+ precision on target provisions — a vendor number, not a benchmark. But with no trial, you test that after signature. Write the acceptance test on your own documents into the contract.
SOC 2 Type II, GDPR, DORA and NIS2 alignment plus US, Canada, Europe and Asia Pacific data residency shorten the security review; entry is demo-gated with no self-serve path.
I couldn't find term length, renewal windows or cancellation terms, so every one of them lands in the negotiation.
No rate, no tier and no seat figure are published anywhere, and Kira's own URL redirects to a shared Litera review page.
Extraction scope and citation-linked outputs are auditable against billable hours, but the 95%+ precision figure is Litera's own claim and the cost side of the ratio is missing.
Lito arrives at no additional charge, but with no base price, no seat rate and no overage terms, a three-year all-in can't be modelled.
Firms who can run a procurement cycle without a published price.
Buyers who need a published rate before booking a demo.
The 1,400 pre-built fields cover the routine provisions; the deal-specific one is yours to train.
“1,400+ smart fields cover the provisions that recur, and Lito comes bundled for the report at the end. The ones nobody pre-built are yours to train, and there's no self-serve way in to size that work.”
1,400+ smart fields ship ready, so a standard diligence pile fills most of its grid before anyone reads a page. Litera claims 95%+ precision on the provisions it targets. What matters is the provision those 1,400 don't cover.
Two paths. A generative field takes a plain-language question and needs no labeled data; Custom Model Training wants marked examples, and the person who can tell a good example from a bad one bills by the hour. Either way, firm data stays out of the shared models.
Lito, the diligence agent, comes with Kira at no extra charge, and the flow is one pass — ask it for a diligence report off Kira's extraction. Review grids come shaped for M&A, real estate, banking and finance, not an empty template you configure. But nothing is self-serve and no price is published, so you can't size that training effort before a sales call.
The pre-built library carries routine review, and the day-three work is the deal-specific provision you have to build yourself.
The Kira product page now redirects to a capability page shared with Lito, and I couldn't find practitioner-level docs.
Bulk import handles deduplication, classification and jurisdiction detection, but training a field still pulls senior reviewer time.
Custom Model Training, per-project GenAI governance and an Open API give a power user room well past the 1,400 defaults.
Lito sits in Outlook, Word and the web, and data rooms reach Kira through HighQ, Intralinks and Litera Transact.
Diligence teams who will train their own smart fields on firm precedent.
Teams who need the pre-built fields to cover everything on day one.
1,400 fields ready on day one, which is a gift until it's a menu nobody can navigate.
“Kira Grid Chat and a bundled Lito turn the review grid into one workflow instead of two tools. But 1,400 pre-built fields need a house convention by month two, and nothing here is self-serve.”
1,400 lawyer-trained extraction fields are waiting before you upload a contract. Day one that's a gift — M&A, real estate, banking, somebody already wrote the questions instead of leaving you to build the library yourself. Month two on a long matter it's a menu nobody navigates the same way twice.
The review grid is where you live. Kira Grid Chat saves the afternoon — ask across every document in the project, get the answer with the clause under it. Lito is included at no extra charge and picks up the same extraction output, answering diligence questions in plain language. One workflow, not two tools.
Governance controls decide where generative AI runs at all, which matters when a client bars it. Litera claims 95%+ precision on target provisions. But nothing is self-serve — no trial, no price, and Kira shares a product page with Lito now. You'll form the month-three opinion after signing.
Kira Grid Chat returns an answer with the source clause attached, and the grid exports to Word, Excel or PDF as a client deliverable.
Generative Smart Fields skip the labeled-data work, but a 1,400-field library is a lot to keep straight past the first matter.
It's a web product with Lito reaching into Outlook and Word; I found nothing about phones, and this work doesn't happen on one.
Access runs through a demo request; I couldn't find a trial or a published price to start from.
Litera claims 95%+ precision on target provisions, but that's a vendor claim and I couldn't judge how the grid behaves under load.
Diligence teams who live in a review grid for weeks at a time.
Lawyers who want to try a tool before booking a demo.
Kira has no page of its own, no published price, and a precision claim nobody can audit.
“Kira sells beside Lito on a shared Review page, and its own product URL redirects there. Its headline claim is 95%+ precision on target provisions, and I couldn't find a price or trial to test it against.”
litera.com/products/kira redirects to a shared Review page. Kira has no page of its own. You read about it beside Lito, never alone.
Underneath, it's specific. 1,400 lawyer-trained extraction fields ready on day one, and a governance toggle that switches generative AI off per project, which pure-GenAI alternatives don't offer. Then Lito, the AI legal agent, arrives "included for Kira customers at no additional charge." Free inside a quote-only product is a number nobody can check. Bundling is how a standalone product stops being separately priced.
The claim I'd push on is "95%+ precision on target provisions, matching senior-lawyer accuracy." Nobody says who picks the target set. In a diligence matter the missed percentage is the whole risk. However, no published price, one quote-only tier, no trial I could find. You negotiate before you see anything.
Lawyer-trained proprietary extraction with a per-project generative toggle is not what the pure-GenAI alternatives offer.
Word, Excel and PDF export plus an Open API help, but Lito bundling and HighQ, Intralinks and Litera Transact integrations deepen the tie.
Active shipping shows in Kira Grid Chat and the Lito agent, alongside stated SOC 2 Type II, GDPR, DORA and NIS2 alignment.
"95%+ precision on target provisions, matching senior-lawyer accuracy" names no target set and no method.
Named capabilities back the headline claim: 1,400 pre-built smart fields, per-project GenAI governance, Word and Excel export.
Diligence teams who already budget for quote-only enterprise legal software.
Buyers who need to verify an accuracy claim before signing.
Common questions answered by our AI research team
Kira delivers 95%+ precision on target provisions, matching senior-lawyer accuracy, thanks to lawyer-trained AI paired with generative AI for client-ready output.
Yes, Kira includes 1,400+ pre-built smart fields ready on day one, plus the ability to train custom fields for deal-specific questions.
Yes, you can query an entire contract set in natural language, and every answer links back to the source contract for verification.
Kira works with Microsoft 365, Litera Transact, HighQ, and Intralinks.
Yes, Lito is included for Kira customers at no additional charge, letting teams run structured diligence reviews alongside Kira's extraction.
Who Litera Kira competes with, and how each one differs
UK-based AI contract review platform using unsupervised machine learning to cluster and analyze documents, competing directly with Kira in due diligence and contract analysis for law firms.
Contract analytics tool focused on clause extraction and due diligence for corporate legal and real estate teams, a narrower and lower-cost alternative to Kira's law-firm-focused platform.
Generative AI legal assistant built on large language models for broader legal research, drafting, and analysis tasks, competing for law firm AI budgets but with a wider scope than Kira's clause-extraction focus.
European AI legal workflow platform combining contract review, drafting, and research in a single collaborative tool, targeting the same large law firm segment as Litera's Kira/Flex offerings.
Large legal information vendor offering Contract Express and Practical Law AI as part of a broad research and workflow suite, bundling contract automation with research subscriptions rather than selling a standalone review tool.
Contract lifecycle management platform emphasizing end-to-end workflow and e-signature for in-house legal and business teams, competing on CLM breadth rather than deep AI clause extraction accuracy.
Litera is a Chicago-based legal technology company providing document drafting, workflow, and transaction management software for law firms and corporate legal departments. It acquired Toronto-based AI contract-review platform Kira Systems in 2021.
