Patent Drafting Workflow

Draft the first spec in 2 hours, not 14

AI generates. You decide.

Upload disclosure → shape key decisions → review instead of rewrite. Start with a structured draft, not a blank page.

Every claim element needs support — Synkti keeps the spec aligned as claims evolve.

Demo = sample data only. Real workflows happen in an NDA workspace.

Use sample disclosures in the demo. Real disclosures → NDA workspace.

Supported by ☁️ AWS Activate ☁️ Google for Startups
Measured Outcomes
What changes for your firm

Design partners test against these benchmarks on real workflows. You see the numbers as we iterate together.

2 hrs
Total time to filing-ready draft
The system generates a structured first draft. Your attorney makes the decisions at each stage. Down from 12–16 hours of associate time.
Zero
Third-party data exposure
E2E encrypted. Dedicated environment for your firm, not shared. No third-party data processing agreements. Attorney-client privilege preserved.
0
Black-box decisions
The pipeline surfaces critical decision points — claim scope, prior art positioning, specification strategy — and asks your attorney to decide. Not a black box. A collaborative tool.
Your team's Monday morning
How your attorneys actually use this

No new tools to learn. No deployment to manage. Your associates focus on legal strategy, not blank pages.

1

Upload disclosure

Inventor disclosures, prior art references, technical documents. Drop them into the interface.

2

Attorney decides, AI generates

The pipeline identifies critical decision points — claim scope, dependent claim strategy, specification depth — and asks your attorney for input before proceeding. Not one-shot generation.

3

Review, not rewrite

Because your attorney shaped the draft at every decision point, the first draft matches their intent. Review and refine, not delete and start over.

4

Export and file

First draft in your document format, ready for your DMS and filing workflow.

When claims change, the spec updates with them — so you're not manually chasing support.

The real problem
You've looked at drafting tools. Here's what you found.

Every option on the market asks you to compromise on something fundamental.

SaaS tools require your data

Third-party SaaS tools require your data. They need access to your confidential work to be useful. That's a privilege and compliance problem your ethics committee won't sign off on.

API-based approaches leak data

Even "enterprise" API plans route your patent specifications through third-party servers. That means your patent specifications route through infrastructure you don't control.

Self-hosting is an engineering project

GPUs, MLOps, scaling, failover, model evaluation, and RAG pipelines. That's a full engineering team. It's not your core competency.

First-draft quality matters

One-shot generation ignores your firm's claim construction conventions, prosecution history, and writing style. You end up rewriting instead of reviewing.

Our approach
Why most drafting tools produce unreliable output

After studying how patent specifications are drafted across dozens of firms, I identified a pattern: most vendors attempt to one-shot complex document generation. A single model call tries to produce an entire patent specification from a brief prompt. Outputs often contain plausible-sounding text with hallucinated prior art, inconsistent claim language, and no connection to your firm's prosecution strategy.

Synkti takes a fundamentally different approach. Each stage of the pipeline has a single responsibility — extraction, structuring, then generation — with validation gates between them. Smaller models handle meta-tasks like claim taxonomy and prior art mapping. Frontier models handle first-draft generation with full context. The result is a first draft you can actually review and trust.

This layered architecture is the core IP. It's designed so that first drafts increasingly match your firm's writing style as the system learns your conventions, and hallucination rates drop to near zero with proper document context.

Three-stage pipeline

Stage 1 — Extraction & Analysis

Parse inventor disclosures, identify novel elements, map prior art relationships. Structured output validates before proceeding.

Stage 2 — Claim Architecture

Generate claim trees with independent, dependent, and method claims. Validate against prosecution history and your firm's conventions.

Stage 3 — First Draft Generation

Complete first draft with detailed description, drawings references, and abstract. Frontier model with complete context from stages 1–2.

Certainty
Reliability you don't have to think about

Your work continues as usual. No downtime. No surprises. No emergencies. No vendor lock-ins.

Data sovereignty

E2E encrypted. Dedicated to your firm.

Your data travels encrypted to an isolated environment, not shared with other clients. Need more control? BYOC and sovereign deployment options available for firms that require it.

Compliance

Audit-ready from day one

Full request logging. Clear data boundaries. When regulators or clients ask where their data went, there's a clear answer: encrypted, isolated, never shared.

Reliability

Available when your team needs it

Production-grade system with monitoring. Attorneys rely on it. Email for updates, custom-tailored features, and ongoing optimizations.

Cost control

Predictable, transparent costs

No surprise cloud bills. Usage-based pricing that scales predictably. Runs on your account with resource limits you set. You see every line item.

How we work together
From exploration to deployment

Design partners shape the tool before firm-wide deployment. Demo it, test it on real work, then deploy when you're ready.

Precision
Built for the specific pain points of patent prosecution

Every workflow we build addresses the problems your attorneys actually face, not generic "AI for legal" features.

Inconsistent claim language across associates and drafts

Prosecution history estoppel risks from poorly constructed specifications

Prior art integration that misses relevant references or over-cites

Office action response cycles extending prosecution timelines

New associates producing drafts that require extensive partner revision

Scaling patent volume without proportional headcount increases

Why firms care about this
Where the time goes instead

Less drafting time = more strategy time

Time redirected to strategy work 10–14 hrs/app
Hours on first draft (current) 12–16 hrs
Time with Synkti (generation + attorney decisions + review) 1–2 hrs
Associate hourly rate (mid-market) $350/hr
Cost per first draft (current) $4,200–$5,600

At 20 applications per month, that's 200–280 hours redirected from drafting to prosecution strategy and client work. Your attorneys spend their time on legal judgment, not blank pages.

Real disclosure evaluation

Private NDA Evaluation

Have a real disclosure? We'll set up a private NDA workspace and run it together. You get the generated specification in 24 hours. No integration, no commitment. You evaluate the output on your own terms.

Design Partner Program

Selectively working with 2–3 experienced practitioners

Design Partners test the pipeline on real workflows and directly shape what gets built. You get iteration speed. We get honest feedback.

What we're looking for
You draft patents regularly (not just review) You'll be brutally honest about output quality You want a tool that learns your firm's style, not generic automation

Limited to 2–3 partners to maintain direct responsiveness to feedback within hours, not days.

FAQ
Questions from practice leads and IT teams

How much faster will we actually draft patents?

The full workflow — generation plus attorney decisions at key stages plus final review — takes 1–2 hours versus 12–16 hours today. Your attorney stays in control throughout. We measure the actual time savings as you test it on real workflows.

Who has access to our data?

Only authorized members of your organization. Data is processed inside a controlled, isolated environment with encryption in transit and clear access boundaries. API communication is encrypted, and audit logs provide traceability for compliance and review.

What models do you use?

The pipeline uses multiple models for different stages. Smaller models handle extraction and structuring. Frontier models handle first-draft generation. Model selection depends on your accuracy and cost requirements.

How do you prevent hallucination?

N-stage pipeline with validation gates. Each stage has a single responsibility with structured output verification before the next stage begins. Hallucination is a pipeline problem, not a model problem. We solve it with architecture.

Can we process patents in batch?

Batch mode is designed for preliminary analysis — things like document extraction, prior art mapping, or assumption-driven reviews across large portfolios. Attorneys define the analysis goals upfront, and outputs are returned with assumptions clearly surfaced for review. Drafting and strategy decisions remain interactive, so attorneys stay actively involved wherever legal judgment matters.

Why not just use Harvey or CoCounsel?

Harvey and similar tools operate as third-party black boxes, where privilege protection relies primarily on contracts. Synkti runs in an isolated, controlled environment with full encryption in transit, and processing happens inside a dedicated workspace rather than shared systems. Audit logs provide clear traceability for compliance and internal review. The result is a workflow that feels effectively air-gapped in practice, where trust comes from architecture rather than policy alone.