A claim chart is a structured table that maps each element of a patent claim to specific evidence. It underpins infringement, invalidity, and licensing analyses by showing how facts align with the claim language in a way courts and opposing counsel can audit.

AI reduces the hours spent on first-pass charting by segmenting claim elements, retrieving semantically aligned evidence, and generating draft mappings with citations. Attorneys stay in control by editing the rationale while the system handles repetitive sourcing work.

Draft outputs are coupled with page-level citations, timestamps, and audit logs. Every assertion links back to verifiable source material, enabling practitioners to validate and refine the narrative before it becomes part of a legal opinion or filing.

Experienced counsel interpret the claim scope, confirm doctrinal fit, and decide on legal positioning. AI supplies structured evidence and draft language but final determinations—such as infringement, invalidity, or estoppel arguments—remain a professional judgment.

Materials are processed within controlled environments that log access, enforce role-based permissions, and maintain hashes of every upload. Source documents never leave your tenancy, and exports include chain-of-custody metadata for downstream review.

Yes. You can tailor headers, apply firm-style templates, and export to spreadsheet, document, or HTML layouts. Batch operations keep parallel matters aligned while preserving review notes and status indicators across versions.

Teams benchmark time-to-first-chart, element coverage, citation completeness, and rework rates. Many users report 60–80% reductions in initial drafting time while improving repeatability and audit readiness across matters.