Talk to Teddy is the conversational AI interface inside Anytime AI 2.0 that allows legal professionals to interact with case files, medical records, and litigation documents using natural language. Instead of searching folders or reviewing documents manually, users can ask Teddy questions and receive instant, case-specific insights, summaries, and drafted outputs.
Talk to Teddy uses agentic legal AI workflows to review, extract, and structure information from complex records. It can identify providers, treatment timelines, causation factors, billing data, and key case events, then convert that intelligence into chronologies, demand content, and litigation work product.
Unlike general AI platforms, Anytime AI 2.0 is purpose-built for plaintiff litigation. It combines secure document ingestion, legal-specific AI training, medical record intelligence, and workflow automation in one closed platform, designed to support real case outcomes, not just general research or writing.
Yes. Talk to Teddy can generate demand letters, discovery responses, medical summaries, complaints, and other litigation documents. Outputs are structured using extracted case facts, helping legal teams accelerate drafting while maintaining accuracy and consistency.
Talk to Teddy operates within a secure, closed AI environment. It leverages case data you upload to generate insights and work products but does not share or expose firm data outside your protected workspace. Firm intelligence remains private and controlled.
Legal AI is used to automate medical record review, identify liability patterns, calculate damages, draft demands, and streamline discovery. For plaintiff firms, it reduces manual review time while improving case valuation and litigation readiness.
When trained on legal and medical datasets and paired with human review, AI can significantly improve speed and consistency in case analysis. Platforms like Anytime AI 2.0 structure outputs around verifiable source records so attorneys can validate findings quickly.
Legal AI connects treatment timelines, provider notes, diagnostic findings, and billing data to demonstrate injury severity and causation. It can surface gaps in care, pre-existing conditions, and permanency indicators that strengthen demand positioning.
High-volume, document-intensive practices see the greatest ROI, including: Personal Injury, Nursing Home Neglect, Medical Malpractice, Mass Tort, Product Liability, and Workers’ Compensation. These cases involve large medical datasets ideal for AI review.
No. Legal AI augments legal professionals by automating repetitive review and drafting tasks. Attorneys maintain strategy, judgment, and client advocacy while AI handles data processing and document generation.
Yes. Anytime AI 2.0 is built to support HIPAA compliance through secure data handling, encryption, access controls, and protected infrastructure. Medical records and protected health information (PHI) are processed within a closed environment designed for legal use.
Client data is secured through enterprise-grade encryption, role-based permissions, and isolated firm environments. Information uploaded into the platform is not shared externally or exposed to public AI models.
No. Case data remains private to your firm. Anytime AI operates within a closed AI architecture, meaning your documents and insights are not used to train or improve public or shared models.
Data is stored in secure, enterprise-grade cloud infrastructure with strict access and monitoring controls. Storage environments are designed to meet legal industry security and privacy expectations.
Yes. Administrators can assign role-based permissions to attorneys, paralegals, and staff. This ensures users only access the cases and features relevant to their responsibilities.
Yes. Anytime AI is designed to integrate with leading case management and document systems, allowing firms to streamline intake, document transfer, and litigation workflows without duplicating work.
Bulk upload functionality allows firms to ingest large case files, medical records, and historical documents at scale. This is especially valuable for high-volume personal injury and mass tort practices.
Yes. Chronologies, summaries, and drafted documents can be exported into standard formats such as Word and PDF for editing, filing, or sharing with experts and carriers.
API access is available for firms seeking deeper workflow automation, system syncing, or custom integrations with internal tools and reporting environments.
The platform enhances, not replaces, current workflows. It accelerates record review, drafting, and analysis while allowing legal teams to maintain their established case handling processes.
Legal AI can reduce medical record review and document drafting time by hours, sometimes days, per case. Automation allows legal staff to focus on strategy, negotiation, and client advocacy instead of manual review.
Yes. By automating labor-intensive tasks like chronologies and demands, firms can handle more cases without increasing headcount, effectively scaling operations while controlling overhead.
The largest time savings typically occur in: Medical record review, Chronology creation, Demand drafting, Discovery responses, and Provider identification. These processes are highly document-intensive and ideal for AI automation.
Yes. Firms often reduce reliance on external medical review vendors and contract drafting services by bringing these workflows in-house through AI automation.
Faster record review and demand generation can accelerate case readiness. This allows firms to issue demands sooner, negotiate earlier, and potentially shorten time to resolution.
Most firms are onboarded within days, depending on data volume and integration needs. The onboarding process includes platform setup, user provisioning, workflow configuration, and guided training.
Yes. Firms receive live onboarding sessions, recorded training, and use-case walkthroughs. Training covers document upload, AI prompting best practices, chronology generation, and drafting workflows.
Anytime AI 2.0 supports common litigation file formats, including PDFs, scanned medical records, bills, charts, deposition transcripts, and legal pleadings. The platform processes both native and OCR-scanned documents.
Yes. Anytime AI 2.0 uses enterprise-grade encryption, role-based access controls, and closed AI architecture. Case data is not used to train public models and remains isolated within your firm’s environment.
Firms receive ongoing technical support, product updates, workflow optimization guidance, and customer success check-ins. Support is available for troubleshooting, feature adoption, and scaling usage across teams.
