Litera
The unified legal document lifecycle and transaction management ecosystem for the modern law firm.

Precision AI for patent proofreading, examiner analytics, and automated drafting.
PatentBots is an industry-leading AI platform engineered specifically for patent attorneys and IP professionals to enhance the quality and efficiency of patent prosecution. By 2026, its technical architecture has evolved to leverage advanced Large Language Models (LLMs) specialized in legal and technical syntax, providing a comprehensive suite of tools that go far beyond simple spell-check. The platform's core infrastructure is built around a proprietary parsing engine that identifies antecedent basis errors, claim numbering inconsistencies, and term usage discrepancies with over 99% accuracy. Beyond proofreading, PatentBots provides a sophisticated data-driven layer that utilizes machine learning to predict USPTO Art Unit assignments and analyze Examiner behavior, allowing firms to tailor their prosecution strategies based on historical data. Its integration as a Microsoft Word add-in ensures that AI-driven insights are delivered within the practitioner's native environment, minimizing workflow disruption. Positioned as a mission-critical tool for mid-to-large law firms, PatentBots focuses on reducing 112 rejections and optimizing the patent lifecycle through predictive intelligence and high-velocity document automation.
Uses a supervised machine learning model trained on millions of USPTO applications to predict the Art Unit a patent will be assigned to based on its claims and specification.
The unified legal document lifecycle and transaction management ecosystem for the modern law firm.
The legal industry's authoritative generative AI platform for research, drafting, and risk management.
Enterprise-grade eDiscovery and AI-driven document intelligence for boutique and mid-market law firms.
Automated legal intelligence and risk scoring for the modern enterprise.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A linguistic parsing engine that identifies every noun phrase in the claims and verifies it has been properly introduced with 'a' or 'an' before using 'the'.
Aggregates USPTO Big Data to provide real-time stats on examiner allowance rates, average number of office actions, and PTAB reversal rates.
Extracts metadata from Office Actions to automatically generate a Word document with all bibliographic data and standard boilerplate responses.
Dynamic mapping of claim dependencies to identify circular references or orphaned claims.
Automatically compiles Information Disclosure Statements from cited references within a patent family.
Utilizes a fine-tuned legal LLM to summarize complex technical specifications into concise abstracts.
Undiscovered clerical errors leading to costly 112 rejections.
Registry Updated:2/7/2026
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High risk of assignment to a 'hard' Art Unit with low allowance rates.
Manual data entry for response shells is slow and error-prone.