Security, Confidentiality & Data Usage
Patent drafting involves handling unpublished inventions, trade secrets, and attorney-client privileged information. For this reason, data security is not a feature—it's a foundational obligation.
DeepIP excels at one specific moment in the patent workflow: when you have a rough invention idea or preliminary claims and need a polished specification and claims written quickly. It's a speed tool for that narrow, high-friction transition.
Solve Intelligence is built on a "zero-training" principle: client data never flows into any AI model retraining, fine-tuning, or feature development pipeline. Every application draft, invention disclosure, and attorney note remains completely isolated. All data is encrypted in transit (TLS 1.3) and at rest (AES-256), audited quarterly under SOC2 Type II standards, and certified ISO 27001 compliant.
More importantly, Solve offers explicit data residency options: firms can select US-hosted infrastructure (default, AWS/Azure), UK-hosted (for firms subject to UK data protection law), or EU-hosted (for GDPR-regulated practices). This granularity matters for AmLaw practices with multi-jurisdictional clients, in-house teams with regional compliance requirements, and firms managing sensitive pharmaceutical, semiconductor, and fintech IP.
DeepIP provides standard enterprise security (SOC2, ISO 27001, GDPR compliance), but its data residency story is less transparent. As a Word-integrated solution, DeepIP data inherits whatever security posture your Microsoft 365 tenant maintains—which is strong, but not independently auditable at the patent-specific level.
For patent practitioners: Solve's explicit "no training on client data" commitment and granular data residency controls reduce regulatory risk and give boards and compliance teams clear lines of sight into how sensitive inventions are protected.
Depth Across the Patent Lifecycle
Solve covers the entire patent lifecycle:
- Invention to Claims: Solve's invention harvesting tools extract key technical details from messy disclosure forms, inventor interviews, or technical documentation—then suggest claims automatically or let attorneys build from scratch.
- Drafting & Collaboration: Once claims are drafted (AI-assisted or attorney-led), Solve generates full specifications, abstracts, and figures, with real-time multi-user editing, comment threads, and version control.
- Figure Generation & Management: Solve generates patent figures (flowcharts, block diagrams, component drawings) from text descriptions, auto-labels every element with proper antecedent basis, and updates labels and references when claims or spec change.
- Prosecution & Office Actions: When an office action arrives, Solve helps you analyze rejections, draft amendments, and track claim-language edits across multiple versions—all without leaving the Solve environment.
- Multi-Jurisdiction Compliance: Solve's claim generation engine understands USPTO, WIPO, EPO, and UKIPO claim formats, so a single disclosure can be used to draft applications for multiple jurisdictions with proper claim structure for each office.
DeepIP handles steps 1–2 elegantly but stops there. If you need to iterate figures, manage office actions, or support prosecution, you're back to Word, email, and spreadsheets.
For law firm efficiency: Solve reduces tool-switching, centralizes patent data, and cuts the time between first draft and filing by 40–60% across larger teams.
Control & Quality for Attorneys
Patent drafting is not autocomplete; it's professional work. Attorneys need visible control over what the AI generates and confidence that quality-assurance rules are being enforced.
Solve provides:
- Claim-first or spec-first drafting: Start with claims and auto-generate matching spec, or start with disclosure and auto-generate claims, then refine both.
- Line-by-line editing: Review every paragraph, edit inline, and revert to prior versions without regenerating the entire document.
- Built-in QA checks: Antecedent basis verification (every claim element appears in the spec), cross-reference validation, claim chart checks, and office action response templates.
- Feedback loops: Highlight issues for the AI to fix (e.g., "Dependent claim 15 doesn't properly narrow claim 13"), and Solve recalculates accordingly.
DeepIP operates more like a "one-shot" generator: you provide a disclosure or claims, hit the generate button, and get a full specification. Iteration requires re-running generation or manual editing in Word.
For quality-conscious practices: Solve's visibility into AI reasoning and built-in review tools reduce risk of antecedent-basis errors, inconsistent terminology, and claim-scope mistakes that can haunt prosecution.
Enterprise Rollout & Adoption
Solve Intelligence backs 200+ IP teams across 5 continents, from 5-person boutique practices to Fortune 500 in-house teams. The platform was built by patent attorneys alongside Thomson Reuters and Microsoft, and its roadmap is shaped by feedback from real prosecution, litigation, and invention workflows.
This scale comes with:
- Structured onboarding: Dedicated implementation specialists (not self-serve docs) who train your team on workflows, customize claim templates for your practice, and establish metrics for adoption.
- Change management playbooks: Guidance on introducing AI drafting to existing teams, managing attorney skepticism, and measuring time savings per matter.
- Continuous improvement: Monthly updates to claim generation models, figure logic, and prosecution rules based on USPTO and international office trends.
- Community & best practices: Access to webinars, case studies, and peer discussions with other IP teams using Solve.
DeepIP takes a self-serve approach: trial access, limited onboarding support, and reliance on Word training for rollout. This works well for individuals but requires significant internal effort for firms rolling out to 20+ users.
For strategic deployment: Solve's enterprise support means faster adoption, higher user satisfaction, and more predictable ROI per seat.