For Law Firms
AI for law firms
More matters, same partners.
SwiftLaw gives law firms a production system for drafting, diligence, and research built on the firm's own precedents.
Matters run through repeatable pipelines: first drafts from firm precedents, redlines as native tracked changes, diligence and research with citations — every output attorney-reviewed before it leaves the firm. Associates start from a strong first pass instead of a blank page, and partners see exactly what changed and why.
Protect realization
Cut the routine hours that get written off, and put associate time where clients will pay for it.
The firm's knowledge, working
Precedents and playbooks stop sitting in the DMS and start producing first drafts.
Native Word, native workflow
Real .docx output with tracked changes — no copy-paste from a chat window, no formatting cleanup.
How teams use SwiftLaw
First-draft generation
Produce complete first drafts from firm precedents with matter terms applied.
Due diligence
Data room review and diligence memos with citations, at deal speed.
Research memos
Citation-backed answers to legal questions, drawing on the record and firm knowledge.
Redlining
Review counterparty paper against firm positions with tracked-changes output.
Knowledge & precedent
Semantic search across firm precedents; partner-approved language surfaced instantly.
What does SwiftLaw do for law firms?
It runs the production layer of legal work — first drafts from firm precedents, redlines as native tracked changes, diligence review, and citation-backed research — with the firm's attorneys reviewing every output before it leaves the building. The deliverables are real Word documents, not chat transcripts.
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.
How is this different from a chat-based legal AI?
Chat tools answer questions; SwiftLaw produces work product. Output lands as native .docx with tracked changes in a Word-grade editor, drafts start from your precedents rather than generic language, and every matter runs through a pipeline with review gates and an audit trail — the format and the accountability a firm actually requires.
Is client 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.
