For Litigation Teams

AI for litigation and disputes

Master the record before the other side does.

SwiftLaw's AI agents analyze depositions, filings, and discovery documents and answer questions with pinpoint citations to the record.

Upload the record — deposition transcripts, expert reports, discovery productions, pleadings — and ask questions in plain language. A multi-agent research pipeline plans the question, reads the documents, cross-references the answers against the record, and returns citation-backed analysis your litigators can verify line by line.

Command of the record

Every answer cites the exact page and line it relies on — verifiable in seconds, defensible in front of a judge.

Chronologies in hours

Build event timelines and witness-by-witness summaries from thousands of pages of testimony and exhibits.

Find the contradiction

Cross-reference testimony against documents and prior statements to surface inconsistencies worth pursuing.

How teams use SwiftLaw

Deposition analysis

Summarize testimony, extract admissions, and flag contradictions across witnesses.

Discovery review

Analyze productions at scale and surface the documents that matter to your theory.

Research memos

Citation-backed answers to case questions, drawing on the record and outside research.

Chronology building

Assemble event timelines with every entry linked to its source in the record.

Draft support

First drafts of statements of fact and document summaries, ready for attorney revision.

What does litigation AI software do?

It ingests the case record — transcripts, productions, pleadings, expert reports — and answers questions about it with pinpoint citations, builds chronologies, summarizes testimony, and drafts research memos. The output is designed to be verified: every claim links to the page and line it came from.

How accurate are the citations?

Every answer is generated by a pipeline that separately plans the research, reads the documents, and then cross-references each claim against the record before it is returned. Claims that cannot be traced to a source are flagged rather than asserted, and your litigators can open the cited passage in one click to verify.

How does attorney review work?

Your attorneys stay in control. Templated, repetitive work runs autonomously, while judgment calls route to your supervising attorneys for sign-off with full context. SwiftLaw is a software platform, not a law firm, and using it does not create an attorney-client relationship — final legal judgment stays with your counsel, backed by a full audit trail of what was decided, by whom, on what basis.

Is case data secure and confidential?

Yes. All client data is encrypted at rest with AES-256 and in transit with TLS 1.2+, stored in encrypted AWS infrastructure scoped to your tenant and located entirely in the United States. SwiftLaw never uses customer content to train AI models and is SOC 2 Type I certified, with a Type II audit in progress and continuous monitoring through Vanta.

Safety & reliability.

The controls your security team expects, with nothing hidden about where we are.

01 / SOC 2 Type I

Complete

Independently audited controls over security, availability, and confidentiality.

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02 / SOC 2 Type II

In progress

Continuous monitoring of the same controls over time — audit underway.

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03 / Zero-access

Your walls, your data

Documents stay inside your infrastructure — never stored on SwiftLaw's servers.

04 / Audit trail

Defensible by default

Every step captured as it happens — what was decided, by whom, agent or attorney, on what basis.

Ready to build your legal factory?

The AI-native control plane for legal work. Your team and AI agents in one system — your attorneys run the validation gates, with a full audit trail on every decision, start to finish.

SOC 2 Type I complete · Type II in progress · Zero-access by design — your documents stay inside your infrastructure, never stored on SwiftLaw's servers.