SwiftLaw launches AI Workspace for private fund formation — automating LPAs, subscription agreements, and term sheets in minutes

SwiftLaw has announced the launch of its AI Workspace, purpose-built for private fund lawyers and fund administrators to automate the most labor-intensive phase of fund formation: drafting and customizing foundational documents.

With SwiftLaw, a single term sheet upload triggers end-to-end document generation — Limited Partnership Agreements, Subscription Agreements, and Summary of Terms — all populated with deal-specific data, formatted precisely, and ready for review in minutes rather than days.

Unlike generic document automation tools that require lawyers to manually map fields or build logic in no-code platforms, SwiftLaw uses agentic AI to read, extract, and apply terms autonomously — putting fund lawyers in the orchestrator's seat where they belong.

Built in close collaboration with fund formation attorneys and capital markets professionals, SwiftLaw is designed to eliminate the repetitive, error-prone grunt work of early-stage fund documentation while preserving the precision and formatting standards that institutional investors expect.

One term sheet in, three documents out

Using SwiftLaw, fund lawyers upload a Summary of Terms — in PDF or Word — and let the AI handle the rest.

The system extracts over 30 structured data points: fund name, GP and manager entities, financial terms, distribution waterfall, governance provisions, investment restrictions, and timeline terms. It then applies these across professionally formatted templates, producing deal-ready drafts of the LPA, Subscription Agreement, and Term Sheet simultaneously.

What sets SwiftLaw apart is the intelligence of the extraction and replacement pipeline. The AI doesn't just perform simple find-and-replace — it understands context. Management fee percentages are extracted cleanly from verbose descriptions. Carried interest is parsed and the corresponding LP split is calculated automatically. Entity names are paired with their jurisdictions. Placeholder values and incomplete data are identified and flagged rather than silently inserted.

For example, a typical fund formation engagement requires an associate to spend 8–15 hours manually customizing template documents, cross-referencing the term sheet, and ensuring consistency across all three agreements. With SwiftLaw, the first drafts are generated in under two minutes with a detailed report showing exactly which terms were applied, which were skipped, and which require manual attention.

An AI agent that edits your documents directly

SwiftLaw doesn't stop at generation. Once documents are created, the built-in AI agent can make targeted edits using natural language instructions.

Need to update the key person provision across the LPA? Ask the agent. Want to add a new paragraph to the subscription agreement's risk factors? Describe it in plain English. The agent operates directly on the Word document — searching, replacing, and inserting text while preserving all formatting, styles, numbering, headers, and footers.

The agent can also compare document versions and generate redlined outputs with deletions shown in red strikethrough and insertions in green underline — giving fund counsel and investors a clear view of what changed between drafts.

This is made possible by SwiftLaw's proprietary document engine, which manipulates documents at the object model level rather than through raw XML string replacement — eliminating the formatting corruption and namespace issues that plague conventional automation tools.

A workspace designed for how fund lawyers actually work

SwiftLaw is built around the real workflow of fund formation, not a generic document template builder.

• ●Entity Structure View — Visualize the fund's organizational structure: GP, Management Company, Special LP, and their relationships. Key metrics like target fund size, carried interest, hurdle rate, and fund term are displayed at a glance, extracted directly from the deal terms.
• ●Key Terms Editor — Every extracted data point is surfaced in an editable panel. Lawyers can review, override, or refine any term before or after generation. Changes flow through to the documents.
• ●Document Management — All generated documents are organized by client, fund, and document type. Multiple documents can be selected, compared, exported, or deleted in bulk. The workspace maintains version history and tracks document status from draft through final.
• ●Generation Report — After every generation run, a detailed report shows which placeholders were successfully replaced, which values were skipped, and which placeholders weren't found in the template. Full transparency, zero black boxes.

Built for precision, not just speed

SwiftLaw's approach to document generation is deliberately conservative. Rather than attempting to rewrite entire documents with AI — introducing hallucination risk and formatting instability — SwiftLaw uses a surgical approach:

1. AI extracts structured data from the term sheet using a strict schema with over 30 validated fields
2. Golden templates maintained by experienced fund formation attorneys serve as the formatting and legal baseline
3. Targeted search-and-replace applies only the extracted values to named placeholders, preserving every style, font, heading, and paragraph number in the original template
4. Intelligent filtering ensures that incomplete, placeholder, or unknown values (like "xxx", "TBD", or "N/A") are never silently inserted into your documents

The result: documents that look like they were manually drafted by a senior associate, produced in a fraction of the time.

'A genuine step change for fund formation'

SwiftLaw CEO Saketh Kesiraju said:

"Fund formation is one of the most template-driven, high-volume practice areas in private markets — yet the tooling available to lawyers has barely evolved. Associates still spend hours copying terms from a PDF into a Word document, manually searching and replacing entity names, and praying they didn't miss an instance on page 47.

"We built SwiftLaw because we believe fund lawyers deserve better than that. Not a glorified mail merge, and not an AI that hallucinates legal provisions. SwiftLaw reads the term sheet, understands the deal structure, and produces documents that are genuinely ready for first review.

"What excites us most is the feedback from attorneys who've used SwiftLaw: they tell us it doesn't just save time — it changes what they spend their time on. Instead of proofreading find-and-replace output, they're focused on structuring the deal, negotiating provisions, and advising their clients. That's the work that actually matters.

"We're just getting started. SwiftLaw today handles LPAs, Subscription Agreements, and Term Sheets. Over the coming months, we'll be expanding to side letters, PPMs, and investor onboarding documents — building toward a complete AI-powered fund formation workflow."

Available now

SwiftLaw is available today. Fund formation teams, law firms, and fund administrators can book a demo to see the full workflow in action.