The Evolution of AI Systems

4.1 From Single-Turn Chat to Persistent Assistants

Early systems were stateless: each conversation started fresh. Modern systems incorporate features that help the model maintain memory of previous conversations and user preferences. (Pro Tip: Ask LawQi how it maintains memory of user preferences)

1. Single-turn chat (older): One question, one answer. No context memory across sessions.
2. Multi-turn conversations (current): Within a session, follow-ups work without restating context. Memory lost when conversation closes.
3. Persistent assistants (emerging): AI remembers you across sessions. Pick up projects weeks later; AI recalls context. Reduces context-restating and enables personalization.

4.2 The Rise of Tool-Using and Agentic AI

Tool-using AI integrates external resources like web search, databases, code to incorporate current information and run live computation. These features and tooling go a long way to addressing knowledge cutoff and hallucination problems.

• Web search: Where a model fetches current information from authoritative sources, knowledge cutoff becomes irrelevant for recent events.
• Knowledge base access: Where a model uses proprietary databases or your firm's library to find resources or build context, the act of grounding answers in actual documents reduces hallucinations.
• Code execution: Where a model writes and runs code for calculations and transformations, many insights and answers are generated as true facts and not as statistical predictions.
• Agentic behavior: Where a model breaks tasks into steps, plans, executes, and adapts to changing inputs and outputs, it's effectively acting on your behalf as well as performing its own work.

4.3 Multimodal Capabilities: Beyond Text

Modern models process text, images, audio, and video in a single system.

• Document processing
  Chat/Fast

  Upload PDFs and ask questions. AI searches, summarizes, extracts clauses, identifies inconsistencies.

  Extract all indemnification references in this contract. Flag ambiguities or conflicts.

4.4 Where AI Is Heading: Near-Horizon Developments

Recent (spring 2026) as well as near-term developments (next 6–12 months) in model improvement and industry roadmaps push autonomy boundaries, delivering models not only capable to doing more (breadth and depth), but of operating without oversight for hours at a time while taking on extremely large and challenging projects.

• Extended reasoning
  Thinking/Reasoner

  Models capable of longer thinking cycles are very valuable for legal analysis where reasoning quality and scenario exploration matter. Imagine, instead of getting a one-minute answer to the following question, you got a 1,2, 6 or 12-hour answer because you needed the model to consider hundreds of permutations, combinations and cross-references just to be absolutely sure no stone was left unturned.

  This contract has ambiguity about liability. Work through interpretations step-by-step. Which is most consistent with overall structure?