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LAW.co Podcast

Eric Lamanna

Law.co, legal AI podcast for AI for law firms.

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31 episodes
daily
Avg 8 min
English

Episodes 31

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Today · 9 min
AI Sub-Agents vs. Legal Tables: The Extraction Revolution
AI sub-agents are transforming how legal professionals tackle one of the most tedious — and highest-stakes — tasks in practice: extracting structured data from complex legal tables. This episode breaks down the technology, the numbers, and what it means f
Yesterday · 8 min
When AI Makes Things Up: Fighting Hallucinations in Legal Practice
AI hallucinations aren't just a tech quirk — in legal practice, they're a professional liability. This episode breaks down why fabricated citations slip through undetected and what lawyers must do to stop them.
Monday · 9 min
Normalizing Multi-Format Discovery Data in Agent Pipelines
Discovery data arrives in every format imaginable — and most of it isn't ready for AI. This episode breaks down how schema harmonization and structured normalization pipelines turn chaotic, multi-format evidence into something agents can actually use.
Sunday · 9 min
State Synchronization Across Distributed Legal AI Agents
When multiple AI agents collaborate on legal work, they must share a precise, real-time understanding of every document, deadline, and jurisdiction. This episode breaks down the architecture — patterns, consistency models, and practical mechanics — that k
Saturday · 8 min
Checkpointing and Rollback: Building Legal AI Pipelines That Don't Break Trust
Legal AI pipelines that can't explain themselves are a liability — and checkpointing and rollback are the engineering disciplines that fix that. This episode breaks down why auditability, reproducibility, and controlled recovery aren't optional extras for
Friday · 9 min
Constraint-Aware Planning: How Legal Document Assembly Gets Done Right
Document assembly that merely looks correct isn't good enough — constraint-aware planning ensures it actually is. This episode breaks down the rules-driven architecture that catches missing disclosures, clause conflicts, and cross-reference breaks before
Thursday · 8 min
Predictive Scaling for Legal AI: How Law Firms Stay Fast, Accurate, and Cost-Smart
Legal AI workloads don't spike randomly — they follow patterns, and the firms that thrive are the ones whose systems see those spikes coming. This episode breaks down predictive scaling: the signals, algorithms, and architecture that keep legal AI cluster
August 26 · 8 min
Token Routing for Statute-Constrained AI Agents in Legal Workflows
When an AI agent reasons through legal matters, the decisions about what it "sees" are just as consequential as the conclusions it reaches. This episode unpacks token routing — the architectural mechanism that keeps statute-constrained AI agents precise,
August 25 · 8 min
Teaching AI to Respect the Statute: Reward Models and Legal Fidelity
Can you train an AI to read a statute the way a careful attorney would — and stop when the law runs out? This episode breaks down reward models, statutory fidelity, and what it actually takes to build a legal AI you can trust.
August 24 · 8 min
How AI Clause Interpolators Are Reshaping Legal Drafting
AI clause interpolators are quietly revolutionizing legal drafting — slashing hours of document work down to minutes while preserving firm style and institutional knowledge. This episode breaks down how the technology works, what it gets right, and how to
August 23 · 8 min
Tool Chaining: How AI Pipelines Are Transforming Litigation Prep
AI tool chaining is quietly reshaping how litigation teams handle massive document productions — cutting review timelines dramatically while keeping attorneys in control. This episode breaks down how sequential AI pipelines work and why forward-thinking f
August 22 · 8 min
How Legal Taxonomies Are Turning AI Agents Into Precision Legal Tools
Legal AI tools are only as good as the structure behind them. This episode breaks down how law firms are using legal taxonomies to build prompt-conditioned agents that deliver faster, more accurate, and auditable legal work product.
August 21 · 8 min
Multi-Agent RAG Pipelines: The Future of Legal Research
Legal keyword search is broken — multi-agent RAG pipelines are the fix. This episode breaks down how specialized AI agents work together to transform legal research from a grinding keyword hunt into a fast, accurate, and verifiable workflow.
August 20 · 9 min
Red Teaming Agentic Workflows: How Law Firms Test Their AI
AI-powered workflows are reshaping law firms — but who's stress-testing them before something goes wrong? This episode breaks down red teaming as a structured, proactive strategy for identifying vulnerabilities in legal AI before they become costly failur
August 19 · 7 min
Who Gets to See What: Role-Based Access in AI-Powered Law Firms
When law firms deploy AI, who can access what becomes a critical governance question. This episode breaks down role-based access control in LLM-driven legal systems — why it matters, where firms go wrong, and how to get it right.
August 18 · 8 min
Constraint Satisfaction: The Hidden Logic Powering Smarter Legal AI
Legal AI is getting smarter — and constraint satisfaction is a big reason why. This episode breaks down how rule-based agent logic helps law firms manage complex, multi-variable problems without missing a critical requirement.
August 17 · 8 min
Fine-Tuning Open-Source LLMs: The Case for Custom Legal AI Agents
Generic AI tools weren't built for your firm's casework — fine-tuned open-source models were. This episode breaks down why custom legal AI agents beat proprietary alternatives on security, cost, and domain precision.
August 16 · 8 min
RAG in the Courtroom: Optimizing AI Retrieval for Legal Data Pipelines
Retrieval-Augmented Generation could be the most important AI architecture decision a law firm makes. This episode breaks down how RAG reduces hallucinations, demands data discipline, and keeps attorneys firmly in control of every output.
August 15 · 8 min
Prompt Engineering for Nested Legal Agent Chains
When multiple AI agents pass work down the line, a single bad prompt at step one can corrupt everything that follows. This episode breaks down how to engineer prompts that keep nested legal agent chains accurate, reliable, and defensible.
August 14 · 8 min
Stateless vs. Stateful Agents: Choosing the Right AI for Your Legal Pipeline
Not all AI agents are built the same — and in legal work, the difference between stateless and stateful architectures can make or break your pipeline. This episode breaks down which approach fits which task, and how to combine both intelligently.

Showing 1–20 of 31 episodes