Introducing Litera Kira Grid Chat: Cross-Document Q&A for Contract Review
AI Summary
Litera's Kira Grid Chat is a cross-document Q&A feature inside Litera's Kira Analysis Grid. It answers natural-language questions across every contract in a worksheet by reasoning over Kira's validated extraction data and linking back to specific extracted data points. General-purpose AI chat tools generate answers directly from document text, which is harder to verify on high-stakes legal work. Grid Chat reads and synthesizes worksheet data; it doesn't edit the grid.
TL;DR
- Litera Kira Grid Chat answers one question across all documents in a deal at once
- Every answer cites the source clause behind it, so reviewers can verify before relying on it
- Answers are grounded in Kira's validated extraction data, not raw document text, so the output is traceable and defensible on high-stakes work
Firms bought Legal AI to move faster. But on high-stakes transactional work, that speed has a way of disappearing. A general AI tool can hand back a confident answer, and "probably right" is not an answer a lawyer can deliver to a client. So reviewers check every output by hand, and the re-checking erases the very speed they paid for. The risk is not just lost time. By April 2026, more than 1,300 court cases involved AI-fabricated content. Trust the wrong output on a high-stakes deal and you risk sanctions, a lost client, and real damage to a career.
This is why the tool behind the extraction matters so much. When due diligence extraction is done by a probabilistic tool, the grid itself is inferred. Every field is a best guess about what each contract says. Ask a question across that grid and the answer inherits all of those guesses, so it may simply be wrong, and the lawyer is left to re-check the whole thing. When due diligence is done with a tool like Kira, built on multi-layer AI, the grid and the extractions behind it are accurate. Verification is still part of the work, because it always should be, but there is far less to fix than a lawyer spends checking the output of a probabilistic tool.
That accuracy is what makes it safe to ask questions across the entire deal at once. Which agreements carry a change-of-control trigger? Which require mandatory prepayment? Which sit under New York law? Litera Kira Grid Chat lets a lawyer ask one plain-language question across every contract in a worksheet and get a single answer back, with a citation to the exact clause behind it. Because the answer is built on Kira's validated extraction data instead of raw document text, it is traceable, defensible, and reliable enough to act on. One question, the whole deal, an answer you can verify and stake your name on.
What Is Kira Grid Chat?
Litera Grid Chat is a cross-document Q&A feature inside the Kira Analysis Grid that lets legal teams ask natural-language questions across all documents in a project and receive one synthesized, cited answer. Most legal AI tools for M&A still require querying contracts one at a time. Grid Chat moves reviewers from document-level review to deal-level insight inside the same tabular grid where the data already lives.
The distinction that matters is the data behind the answer. Grid Chat reasons over Kira's validated extraction outputs and cites the source clause behind every response. This is Kira's multi-layer AI at work: deterministic extraction paired with AI reasoning. On billable, high-stakes work, where a probabilistic guess carries too much risk, that combination is what makes an answer reliable enough to act on.
How Does Grid Chat Keep AI Answers Accurate and Defensible?
Grid Chat keeps answers defensible by tying every response to a validated extraction and citing the source clause behind it, so a lawyer can verify the answer before relying on it. The capabilities in this release are designed around one principle: a generative answer is only useful in legal work if a lawyer can check it.
- Cross-document Q&A: ask one question and get a unified, deal-level answer across all documents in the worksheet, with no need to query contracts one by one
- Traceability: every response links back to the exact extraction, field, and clause behind it, so reviewers can validate each answer before they rely on it
- Coverage Transparency: Grid Chat flags when an answer is missing data, keeping reviewers in control of what is safe to rely on
- Natural-Language Prompting: Lawyers ask detailed, multi-part diligence questions in plain language, the way lawyers naturally frame them
- Continuous Analysis: chat history is retained within each user session, so follow-up questions build on earlier ones without restarting the analysis
- Copy-Ready Outputs: tables, summaries, and clause lists are separated from the conversation and can be copied straight into Word, email, or a memo
Coverage transparency deserves a particular note, because it reflects a deliberate choice to favor honesty over the appearance of certainty. An AI that answers confidently when it has only seen part of the deal is not faster, it's dangerous. Grid Chat tells reviewers which extraction the answer comes from, and that traceability is what keeps it usable inside a billable workflow.
How Does Extraction-Grounded Q&A Differ From General-Purpose AI Chat?
Grid Chat is different because it reasons over Kira's validated extraction outputs and cites the source clause behind every answer. General-purpose AI chat tools generate responses from document text, which makes them harder to verify and riskier on high-stakes legal work where a probabilistic guess carries too much exposure.
That difference is the whole point. It's the gap between a tool that sounds confident in a demo and one a reviewer can defend to a partner or a client. Most platforms that have brought chat to the grid are built on generative AI working over document text. Kira's advantage is its extraction-native foundation: the answers are grounded in validated data, more traceable, and more aligned with the way legal teams already work in Kira. A strong foundation is the right bet on high-stakes work.
Where Grid Chat Fits in the Contract Review Workflow
Grid Chat accelerates synthesis and verification while the reviewer still confirms the answer. It works inside the Kira environment your team is already in, with no new platform, login, or behavior change required. The feature returns a verified, cited answer, and the lawyer confirms it before relying on it. Lawyers stay in control, which is precisely why citations exist.
It's also worth being clear about what this release does. Grid Chat reads and synthesizes the data in your worksheet. That focus is intentional. Grid Chat is legal workflow automation built around verification. The goal of this release is to prove that the chat layer can answer cross-document questions accurately and traceably, on the data your team has already validated.
The payoff is not measured solely in saved hours. Time reclaimed from manual synthesis, like stitching findings together in Excel, is time a lawyer can return to the judgment, advice, and client relationships that win the next matter. That is RoAI, Litera's Return on AI Investment framework, and it's what separates Litera from platforms that deliver only one piece of the equation: efficiency, deeper client trust, and the capacity to take on more work, all from the same investment.
See How Grid Chat Works
Grid Chat is now available. See how it turns deal-level questions into cited answers across an entire worksheet. Book a demo, and if you're already a Kira customer, reach out to success@litera.com to explore Grid Chat for your team.
Meet Us at ILTACON
Grid Chat is available now, and it turns deal-level questions into cited answers across an entire worksheet. See it for yourself. Book a meeting with us at ILTACON to walk through Grid Chat with our team, and if you are already a Kira customer, reach out to success@litera.com to explore Grid Chat for your firm.
Frequently Asked Questions
Can AI answer questions across multiple contracts at once?
Yes. Kira Grid Chat lets lawyers ask one natural-language question across the entire worksheet and receive a single, synthesized, cited answer. This is what shifts diligence from document-level review to deal-level insight.
What is cross-document Q&A in contract review?
Cross-document Q&A is the ability to ask one question and get a consolidated answer drawn from an entire set of documents at once. In Kira Grid Chat, that answer is built on validated extractions and cites the source clause behind it, so reviewers can verify it before relying on it.
How is Grid Chat different from general-purpose AI chat tools?
Grid Chat reasons over Kira's validated extraction outputs, and it cites the source clause behind every answer. This multi-layer approach, deterministic extraction paired with AI reasoning, is what makes its answers reliable and defensible on high-stakes legal work, where a probabilistic guess carries too much risk.
Does AI contract review replace lawyer review?
No. Grid Chat accelerates synthesis and verification, but the lawyer still confirms the answer. It returns verified, cited answers and surfaces when its data is incomplete, while the lawyer stays in control and verifies before relying on any answer. In this release, it reads and synthesizes worksheet data; it doesn't edit the grid.
What are common AI use cases in M&A and due diligence?
Established legal AI use cases include contract extraction, redlining, risk-flagging, and clause comparison. Kira Grid Chat builds on those use cases by adding cross-document Q&A, so a reviewer can ask one question and get a synthesized answer across an entire deal instead of working file by file.
Is Kira Grid Chat available now?
Yes. Kira Grid Chat is available now. Book a demo to see it in action or, if you're already a Kira customer, contact success@litera.com to explore it for your team.
