What FICPI's ABC Meeting 2026 Revealed About AI-Ready Patent Practice

Why specialized legal AI beats general LLMs for patent work

The session began with a resonant comparison: a general-purpose LLM is similar to a talented law student. It is knowledgeable, articulate, and efficient, but lacks experience with prosecution, familiarity with firm-specific client guidelines, and understanding of the stakes involved in each matter.

A platform designed for the complete patent workflow is distinguished by several key factors:

• Access to legal research, case law, and prosecution databases
• An added grounding layer sourced from actual legal doctrine rather than statistical pattern-matching
• Sandboxing that isolates work at the matter level to prevent conflicts across the firm
• Jurisdiction-aware formatting and compliance rules built into the platform itself

Additionally, the AI’s style should be customizable by attorney, matter, jurisdiction, and specific client instructions. Firms prefer a platform that reflects their unique practice, rather than a single, uniform voice.

Inside Solve Intelligence’s patent workflow

Currently used by thousands of practitioners at over 700 in-house and IP firms, Solve Intelligence focuses on the entire patent lifecycle, rather than a single point solution. Solve Intelligence supports:

• Prior art search across more than 150 million patent documents and 215 million pieces of non-patent literature
• Invention disclosure analysis, including novelty and non-obviousness flagging and guided claim-drafting questions
• Drafting support, from AI-assisted claim brainstorming and background writing to switching between USPTO, EPO, and PCT formats
• Office action response, with rejection charting, examiner argument mapping, and strategy generation
• SEP and standards analysis, mapping claims to standards with full citation sourcing
• Portfolio-level infringement detection and pruning at scale
• Biotech and chemistry support, including sequence extraction and genus/species claim generation
• Cross-jurisdiction prosecution, pulling global prosecution history to inform new responses

For all of these workflows, the AI output includes clickable citations linking to the relevant source document. For attorneys, this traceability distinguishes a tool suitable for experimentation from one that can be relied upon in practice.

The ROI case: reallocating time, not just saving it

A key topic was how firms measure the return on their AI investments. Among approximately 700 firms using Solve Intelligence, attorneys consistently reallocate time saved by AI to higher-value work, advanced claim drafting strategy, portfolio cross-sell analysis, and client-facing IP insights, rather than simply increasing workload.

One team that adopted Solve Intelligence mid-fiscal year exceeded their billing targets by $1 million. However, software alone is not sufficient; effective change management is equally important. Successful adoption typically follows three stages: 

1. Build appetite for the tool
2. Give people a guide to realizing value from it
3. Let internal champions drive peer adoption from there

Approximately 35% of Solve Intelligence’s team are fully qualified patent attorneys and agents dedicated to customer deployment and training, where ROI is ultimately realized.

Security and the shifting in-house mandate

Security was discussed as a critical factor for adoption, not merely a compliance requirement. Solve Intelligence’s infrastructure aligns with the standards law firm IT teams now expect:

• Data encrypted in transit and at rest
• No training on client data, with data sandboxed per user and per project
• Data residency options
• SOC 2 Type II and enterprise-grade security, reviewed and approved by law firm IT teams

A significant shift is driven by clients. In-house legal teams increasingly require outside counsel to use AI tools, and some are selecting firms based on their AI capabilities. AI fluency is now becoming a selection criterion rather than a differentiator.

What’s next for AI in patent practice?

FICPI’s ABC Nashville meeting demonstrated that patent attorneys are no longer debating whether to adopt AI. Instead, they are focused on identifying platforms that meet the rigorous demands of their work and on effective implementation. This is the core conversation Solve Intelligence seeks to address. 

Looking ahead 6 to 12 months, a few shifts stood out from the discussion:

• Interfaces will move away from fixed software, enabling attorneys to interact more naturally and build custom workflows rather than navigate static menus
• AI will become increasingly personalized, adapting to each attorney’s style in a manner similar to a trusted senior associate
• Automation of routine end-to-end tasks is already underway and is expected to accelerate
• The learning process is reciprocal: attorneys improve their use of AI over time, and this ongoing interaction generates significant compounding value

FAQs

What's the real difference between a general-purpose LLM and a specialized patent AI platform?

General-purpose models are trained broadly and reason well, but they lack grounding in legal doctrine, access to technical guidelines and case law databases, and the confidentiality standards firms are required to maintain. A specialized platform adds that legal-specific layer on top, along with jurisdiction-aware formatting so outputs are actually usable in practice, not just plausible-sounding text.

Which parts of the patent lifecycle does Solve Intelligence cover?

Solve Intelligence spans invention disclosure analysis, prior art search, claim drafting, office action response, SEP and standards analysis, portfolio-level infringement detection, and biotech/chemistry-specific claim support, with cross-jurisdiction prosecution history informing new work throughout.

How does Solve Intelligence handle confidentiality and data security?

Data is encrypted in transit and at rest, never used to train models, and sandboxed per user, enforced at the matter level. Firms can choose data residency in the US or EU, and the platform’s security has been reviewed and approved by law firm IT teams under SOC 2 Type II, ISO 27001, and enterprise-grade standards.

How do firms measure ROI from adopting Solve Intelligence?

Across roughly 700+ firms and in-house teams, the consistent pattern is that attorneys reallocate the time AI saves toward higher-value work, deeper claim strategy, portfolio cross-sell analysis, and client-facing insight, rather than simply increasing volume. Change management is treated as equally important as the software, with adoption typically moving from initial appetite to internal champions driving peer use.