LAW.co Podcast
by Law.co
Secure Delegation Between Legal AI Agents in Adversarial Contexts
About this podcast
Legal AI for lawyers and the firms they run. Where AI genuinely helps in research, drafting and review, what privilege and confidentiality actually require of a tool, how to evaluate legal software honestly, and the operational side of running a practice.
Each episode takes one question a practitioner is facing — whether to let a tool touch client data, how to verify AI-assisted research, what to change about billing when work gets faster — and works it through. Written for practising lawyers and firm administrators, not for legal futurism. Five or six minutes an episode.
Topics include AI-assisted research and verification, drafting and review workflows, privilege and confidentiality requirements for tools, evaluating legal software honestly, billing when work gets faster, matter management, and firm operations.
Produced by Law.co, legal AI for lawyers and law firms. Full details, services and further reading at https://law.co
Episodes
The newest 20 of 122 episodes
- Secure Delegation Between Legal AI Agents in Adversarial Contexts · 5 minWhen AI agents delegate tasks to one another inside a law firm, adversarial agents on the other side are watching for gaps. This episode breaks down the authentication, scoping…
- Agent Chain Unit Tests: Making Legal AI Reasoning Actually Provable · 5 minCan you prove your legal AI reached the right answer the right way? This episode breaks down agent chain unit testing — the infrastructure discipline that makes multi-step legal…
- Why AI Hallucinations in Case Law Research Are an Architecture Problem · 5 minAI hallucinations in legal research aren't a user error problem — they're an infrastructure one. This episode breaks down why even purpose-built legal AI tools still fabricate…
- Multi-Agent AI: The Smarter Way to Classify Your Case Files · 5 minManual document sorting costs law firms nearly 15 minutes per file — and it's quietly draining attorney time at scale. This episode breaks down how multi-agent AI labeling…
- Closed-Loop Feedback: How Agentic AI Never Misses a Case Update · 5 minAgentic AI with closed-loop feedback doesn't just deliver case updates — it verifies them, learns from them, and corrects itself. This episode breaks down the architecture that's…
- Choosing Your Hardware Stack for Private Legal AI: A Sizing Framework · 5 minBefore your firm buys a single GPU, the hardware sizing decisions you make will determine the real economics, latency, and data-residency posture of your private legal AI…
- Concurrency Control in Parallel Legal Agent Chains · 5 minWhen multiple AI agents work a legal matter simultaneously, concurrency control is what keeps the work coherent. This episode breaks down the race conditions, deadlocks, and…
- Deterministic Replay Systems: The Rewind Button Legal AI Desperately Needs · 5 minWhen a legal AI output is disputed, "I think the model did this" isn't good enough. This episode breaks down how deterministic replay systems give law firms a forensic-grade…
- Event-Driven Architecture: How Legal AI Reacts in Real Time · 5 minLegal AI that reacts in real time — not hours later — is now an operational necessity. This episode breaks down how event-driven architecture closes the gap between when…
- Event-Driven Triggers: How AI Classifies Legal Evidence in Real Time · 5 minAI classification agents that fire the moment evidence arrives — not hours later — are changing the economics of legal review. This episode breaks down how event-driven triggers…
- Forensic Logging: The Audit Trail Every AI-Driven Law Firm Needs · 5 minAI agents are making high-stakes legal decisions every day — but without forensic logging, most errors go undetected until it's too late. This episode explains why a rigorous…
- High-Recall NER: Why Legal AI Must Catch Everything That Matters · 6 minIn legal AI, missing a single entity—a party name, a defined term, a citation—can unravel an entire matter. This episode breaks down why high-recall named entity recognition is…
- What a Private LLM Deployment Actually Costs a Mid-Sized Law Firm · 5 minDeploying a private LLM at a mid-sized law firm can cost anywhere from $100K to $400K in year one — and most of that gap comes down to five decisions made before procurement even…
- What Lawyers Actually Demand From a Legal AI Solution · 5 minBefore signing with any legal AI vendor, firms need a clear rubric — not just a winning demo. This episode breaks down the six demands lawyers are actually making of AI solutions…
- Intrusion Detection for Orchestrated Legal AI Systems · 5 minWhen AI agents coordinate across a law firm's entire operation, the attack surface grows dramatically. This episode examines how intrusion detection works inside orchestrated…
- How Legal AI Learns to Navigate Different Jurisdictions · 5 minLegal AI that works brilliantly in one jurisdiction can fail catastrophically in another. This episode unpacks meta-learning — the training approach that teaches AI systems to…
- On-Prem vs VPC vs Hybrid: Choosing a Private LLM for Your Law Firm · 5 minYour law firm's private AI deployment isn't a simple build-vs-buy call — it's a confidentiality decision with real malpractice stakes. This episode maps the true costs, failure…
- Spellbook vs Law.co: Why AI Contract Drafting Is a Governance Decision · 5 minChoosing between Spellbook and Law.co isn't just a feature comparison — it's a governance decision. This episode breaks down why document-level AI drafting tools fall short of…
- Keeping Legal AI Current: Continuous Skill Injection Explained · 5 minLegal AI systems don't stay current on their own — and an outdated AI can become a liability overnight. This episode breaks down continuous skill injection, the modular design…
- Latency-Aware Court Scheduling: Why Every Minute in Court Counts · 5 minCourt scheduling delays don't stay contained — they ripple across entire dockets. This episode breaks down how latency-aware systems can measure, predict, and reduce courtroom…







