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The logic behind Kirkland x Palantir
An advantage or a costly mistake?
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Operations, governance and strategy.
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A complete overview of AI agents.
How a harness turns a generative model into a constrained sequence of state transitions.
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Compaction in CC, Codex, and Opencode
How agents preserve a useful continuation state.
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Multi agent systems for complex tasks
Delegating complex work across subagents.
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Building Agent Telemetry for LLMs
Aligning on intent, risks, and tasks.
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Going up a level of abstraction in Word.
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The evolution and differentiation of agentic legal systems.
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Legal Ontologies: The Missing Layer
From document processing to deep reasoning.
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The battle for the billable hour
Billing for uncertainty in legal work.
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Why LLMs Behave the Way They Do
How language models developed, and their resulting behaviour.
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Version control and full session capture.
Applying drafting information strategically.
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Agentic AI vs Legal Tech
Will general purpose agents replace legaltech?
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Memory Systems for Legal AI
Lighting up legal memory like human synapses.
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Ontologies Are All You Need
Creating systems of audit for legal AI.
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An inside guide to buying legal tech.
Both sides of law firm interactions with vendors.
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Long running autonomous agents for knowledge work
The interplay between autonomous agents and human direction.
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Lexifina vs Spellbook for Legal Drafting
Comparing two redlining strategies.
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AI Strategy for Estate Planning Lawyers
Minimising AI risk for estate planning.
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The State of The Art for domain specific AI
A practical systems roadmap.
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Technology adoption for big and small firms
Reflections from discussions with law firm owners.
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Why lawyers are likely to start using version control
How law firms leverage their data.
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Reinforcement Learning for Legal Drafting
Solving legal drafting as an open-ended system.
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