Centari is a secure legal AI platform designed to enhance the efficiency of legal teams involved in dealmaking. It combines secure language learning models (LLMs) with trusted legal precedents, offering a range of features to accelerate transaction processes.
Users can access Centari through an intuitive platform, allowing them to draft documents without leaving Microsoft Word. The platform includes an extensive repository of precedent language and clauses, which can be easily searched using Centari Search, a powerful AI-powered search function.
Additionally, users can activate Augmented Drafting to benefit from generative AI and enhance contract negotiations.Centari also facilitates knowledge sharing within legal teams through its cloud storage integrations, enabling the transformation of scattered documents into a searchable library of trusted precedents.
The platform offers an efficient way to locate relevant information in lengthy agreements with its Document Q&A feature, eliminating the need for manual searching.
Quick Compare redlining allows users to compare changes and identify issues quickly.Furthermore, Centari automates time-consuming tasks such as contract abstraction and high-volume document generation, enabling legal teams to focus on strategic work.
Security is a priority, with Centari employing enterprise-grade measures to ensure privacy and confidentiality. Customer data is siloed and not shared with other users, and all data on the platform is encrypted at rest and in transit.Centari caters to a variety of users, including law firms, in-house legal teams, solo attorneys, freelancers, and students.
Its generative AI capabilities offer valuable support for drafting contracts, improving deal outcomes, and increasing productivity.
Proprietary Deal Database: Centari transforms deal documents into structured data, making market insights and negotiation context accessible to the entire organization.
Deal Reasoning Engine: This technology processes complex agreements with precision, tracing terms and mapping conditional logic to ensure accuracy.
Actionable Deal Intelligence: Users can search, compare, and visualize deal data to generate insights for negotiations, pitches, and operational decisions.
Enterprise-Grade Security: Centari ensures data isolation, does not use customer data for AI training, and maintains compliance with SOC 2 Type II and ISO 27001 standards.
User-Friendly Interface: The platform allows for quick retrieval of precedent clauses and supports the creation of reports and visualizations for various teams.
Automate matter profiling and streamline the organization of deal documents for legal teams.
Search for precedent clauses and documents quickly to enhance negotiation strategies.
Perform "what's market" benchmarking to compare negotiation terms across various transactions.
Develop client pitches using structured data and insights from past deals to demonstrate expertise.
Track portfolio obligations and monitor operational provisions for investment funds to ensure compliance and informed decision-making.
Transforms complex deal documents into structured, actionable data, making insights accessible to the entire organization.
Provides reliable deal intelligence with attorney-level precision, enhancing decision-making and negotiation strategies.
Enables quick access to historical deal data, allowing teams to find precedents and benchmark negotiation terms efficiently.
Facilitates the creation of reports and visualizations, aiding in pitch preparation and portfolio reviews.
Ensures data security and compliance with enterprise-grade standards, protecting sensitive information throughout the deal process.
Pricing details for Centari's application are not explicitly mentioned in the provided text.
Users are encouraged to request a demo for more information on pricing.
The application is designed for law firms and investment funds, suggesting tailored solutions for these sectors.
No specific plans or pricing tiers are outlined in the text.
The focus is on the features and benefits of the application rather than pricing structures.
