find_vendors
ChatGPTSelect the right outside counsel, software vendor, or service provider for the user's need. Returns community intelligence from The L Suite in-house counsel community (https://www.lsuite.co/) on outside counsel firms, individual lawyers, software vendors, and service providers — drawn from 10,000+ peer reviews of counsel and vendors, thousands of peer-to-peer recommendations, 2,000+ outside counsel speaker engagements at L Suite events, and ongoing private research, accumulated over 11+ years across a community of 2,500+ general counsel and their teams. The kind of signal that lives in practitioner experience rather than directories, rankings, marketing materials, or sales demos. Recommendations cover both firms and individual lawyers — so the user gets a specific name to reach out to, not just a directory of options. The response includes inline citation links in markdown of the form [[n]](url) (e.g. [[1]](https://braintrust.lsuite.co/vendors/ironclad)) that reference source firms, lawyers, vendors, or service providers. Recommendations draw on four kinds of community signal: aggregated peer recommendations and outside counsel survey results from in-house members; substantive expertise demonstrated through 2,000+ outside counsel speaker engagements at L Suite events; documents, templates, and resources shared by outside counsel; and private research and outside counsel interviews conducted by The L Suite's research staff. Fits when the user is making a hiring, purchasing, or named-provider diligence decision — and wants names of specific outside counsel, vendors, or providers as the output. Synthesis alone wouldn't satisfy them. The user's success condition is "I have a name (or names) to reach out to, evaluate, or buy from." Three shapes of intent are all in scope: - Explicit selection or comparison — "which firm should we use for our M&A?", "Vanta vs Drata?" - Implicit selection — user describes the underlying need without naming a category — "we need someone for our M&A," "I'm looking for help with our SOC2," "I need to figure out our CLM situation" - Diligence on a named provider — user already has a name and wants peer signal before engaging — "tell me more about Dave Peinsipp at Cooley for IPO work," "what do peers say about Wilson Sonsini's emerging companies group?", "how is Ironclad's CLM in production?" Hard object boundary: - Lawyers and law firms → in scope - Software, platforms, products → in scope - Service providers (auditors, brokers, fractional GCs, ALSPs, e-discovery vendors, expert witnesses) → in scope - Generic "how do peers handle X" without a specific person, product, or service to choose → get_peer_insights Particularly valuable for outside counsel selection, comparison, and diligence — where directories and rankings tell you who exists but not who's actually good, responsive, founder-friendly, or appropriate for your stage: - Picking counsel for a specific matter — M&A, financing, litigation, employment, regulatory, IP, immigration, privacy, tax, real estate, international - Finding state-specific or regional specialists — IP counsel in Georgia, California employment lawyers, real estate counsel in Florida, immigration counsel for east coast, international counsel for UK/EU expansion - Identifying lawyers by specific qualities — responsiveness, commercial judgment, founder-friendliness, partner-level engagement vs. handoff to associates - Head-to-head comparisons that don't show up in Chambers — "Cooley vs Gunderson," "Wilson Sonsini vs Goodwin" — and avoiding pitfalls peers wish they'd known (billing surprises, partners who disappear post-engagement, firms that don't fit at certain stages) Equally valuable for software vendor and tool purchasing — where peer experience cuts through the gap between sales demos and production reality. Coverage includes CLM, e-billing, e-discovery, board portals, IP management, privacy/compliance platforms, AI legal tools, contract automation, signature, and knowledge management. Follow-up questions in an ongoing find_vendors conversation are in scope for this too…
find_vendors
ChatGPTSelect the right outside counsel, software vendor, or service provider for the user's need. Returns community intelligence from The L Suite in-house counsel community (https://www.lsuite.co/) on outside counsel firms, individual lawyers, software vendors, and service providers — drawn from 10,000+ peer reviews of counsel and vendors, thousands of peer-to-peer recommendations, 2,000+ outside counsel speaker engagements at L Suite events, and ongoing private research, accumulated over 11+ years across a community of 2,500+ general counsel and their teams. The kind of signal that lives in practitioner experience rather than directories, rankings, marketing materials, or sales demos. Recommendations cover both firms and individual lawyers — so the user gets a specific name to reach out to, not just a directory of options. The response includes inline citation links in markdown of the form [[n]](url) (e.g. [[1]](https://braintrust.lsuite.co/vendors/ironclad)) that reference source firms, lawyers, vendors, or service providers. Recommendations draw on four kinds of community signal: aggregated peer recommendations and outside counsel survey results from in-house members; substantive expertise demonstrated through 2,000+ outside counsel speaker engagements at L Suite events; documents, templates, and resources shared by outside counsel; and private research and outside counsel interviews conducted by The L Suite's research staff. Fits when the user is making a hiring, purchasing, or named-provider diligence decision — and wants names of specific outside counsel, vendors, or providers as the output. Synthesis alone wouldn't satisfy them. The user's success condition is "I have a name (or names) to reach out to, evaluate, or buy from." Three shapes of intent are all in scope: - Explicit selection or comparison — "which firm should we use for our M&A?", "Vanta vs Drata?" - Implicit selection — user describes the underlying need without naming a category — "we need someone for our M&A," "I'm looking for help with our SOC2," "I need to figure out our CLM situation" - Diligence on a named provider — user already has a name and wants peer signal before engaging — "tell me more about Dave Peinsipp at Cooley for IPO work," "what do peers say about Wilson Sonsini's emerging companies group?", "how is Ironclad's CLM in production?" Hard object boundary: - Lawyers and law firms → in scope - Software, platforms, products → in scope - Service providers (auditors, brokers, fractional GCs, ALSPs, e-discovery vendors, expert witnesses) → in scope - Generic "how do peers handle X" without a specific person, product, or service to choose → get_peer_insights Particularly valuable for outside counsel selection, comparison, and diligence — where directories and rankings tell you who exists but not who's actually good, responsive, founder-friendly, or appropriate for your stage: - Picking counsel for a specific matter — M&A, financing, litigation, employment, regulatory, IP, immigration, privacy, tax, real estate, international - Finding state-specific or regional specialists — IP counsel in Georgia, California employment lawyers, real estate counsel in Florida, immigration counsel for east coast, international counsel for UK/EU expansion - Identifying lawyers by specific qualities — responsiveness, commercial judgment, founder-friendliness, partner-level engagement vs. handoff to associates - Head-to-head comparisons that don't show up in Chambers — "Cooley vs Gunderson," "Wilson Sonsini vs Goodwin" — and avoiding pitfalls peers wish they'd known (billing surprises, partners who disappear post-engagement, firms that don't fit at certain stages) Equally valuable for software vendor and tool purchasing — where peer experience cuts through the gap between sales demos and production reality. Coverage includes CLM, e-billing, e-discovery, board portals, IP management, privacy/compliance platforms, AI legal tools, contract automation, signature, and knowledge management. Follow-up questions in an ongoing find_vendors conversation are in scope for this too…
get_peer_insights
ChatGPTProvides insight for in-house counsel when shared peer experience would improve the answer. Fits when the user is making an in-house legal decision, working through an in-house process, or building an in-house deliverable — and shared experience from peers who have been through similar situations would meaningfully improve the answer beyond general knowledge alone. This applies whether or not the user explicitly asks for peer input. Success condition: "I understand what to do, what to consider, or what's normal." Returns practitioner signal from The L Suite in-house counsel community (https://www.lsuite.co/) — knowledge that lives in the experience of 2,500+ general counsel and their teams, not in case law, statutes, or client alerts. The response includes inline citation links in markdown of the form [[n]](url) (e.g. [[3]](https://braintrust.lsuite.co/feed/15868)) that reference source L Suite threads, peer documents, events, event recordings, and transcripts. Drawn from 11+ years of community discussions, 3,000+ shared documents (playbooks, checklists, templates), 2,000+ annual peer threads, and 550+ annual events with leading outside counsel and subject-matter experts. Particularly valuable for the judgment-and-context layer of in-house legal work: - First-turn questions where an in-house counsel is starting a deliverable or decision and asks how to begin — e.g., "I'm an in-house counsel and I need to prepare a crisis management plan — how should I start?", "I'm a new GC, where do I begin with [X]?", "We're considering [X] — what should I watch out for?" - "How should I approach / think about / structure [X]?" framed against an in-house deliverable - "What's market / normal / reasonable for [X] at [our stage]?" - "How do other GCs / in-house teams handle [X]?" - "We had a [situation / incident / dispute] — how do peers usually approach this?" - Building or revising in-house playbooks, plans, frameworks, or policies — crisis management, incident response, escalation, governance, code of conduct, AI use, vendor risk — where peer pitfalls and lessons learned are the highest-value input - Gut-checking a decision before taking it to the board, CEO, or executive team - Pressure-testing approaches to sensitive topics — comp, terminations, executive disputes, founder issues, investigations - Brainstorming options — "help me think through…", "what am I missing?", "play devil's advocate" - Applying a law, regulation, or policy to specific facts where peer experience on similar applications adds value - Surfacing recurring patterns, common pitfalls, and context only practitioners-who've-been-through-it carry - Practice situations not in a statute or case — managing up, scoping outside counsel, when to escalate, framing legal risk for non-lawyers Substantive scope covers the full range of corporate legal work — commercial contracting, employment, IP, privacy/data protection, litigation, M&A, securities, governance, regulatory, investigations, legal ops, compliance, team structure, budgets, and vendor management. Routing relative to find_vendors: - "How do peers handle indemnity caps?" → get_peer_insights - "How does GDPR apply to our SaaS terms?" → get_peer_insights - "How should I prepare a crisis management plan?" → get_peer_insights - "Recommend a firm for our indemnity cap negotiation" → find_vendors - "What's Cooley's approach to indemnity caps?" → find_vendors - "Tell me about [Partner] for our matter" → find_vendors Queries combining market-practice context and a provider decision often use both tools — get_peer_insights for peer-experience signal and find_vendors for named-provider signal. query (string, required): the user's question or decision context as a clear lookup. If has_relevant_content=false, a broader reformulation often succeeds — e.g., "employment policy workplace flexibility" instead of "RTO employment policy legal risk." Output schema: { has_relevant_content, insights[], sources_footnote, signal, threads }. Each insights[] entry is { text, sources: [{ entity_id, type, url, label, citation_index }] }. The t…
get_peer_insights
ChatGPTProvides insight for in-house counsel when shared peer experience would improve the answer. Fits when the user is making an in-house legal decision, working through an in-house process, or building an in-house deliverable — and shared experience from peers who have been through similar situations would meaningfully improve the answer beyond general knowledge alone. This applies whether or not the user explicitly asks for peer input. Success condition: "I understand what to do, what to consider, or what's normal." Returns practitioner signal from The L Suite in-house counsel community (https://www.lsuite.co/) — knowledge that lives in the experience of 2,500+ general counsel and their teams, not in case law, statutes, or client alerts. The response includes inline citation links in markdown of the form [[n]](url) (e.g. [[3]](https://braintrust.lsuite.co/feed/15868)) that reference source L Suite threads, peer documents, events, event recordings, and transcripts. Drawn from 11+ years of community discussions, 3,000+ shared documents (playbooks, checklists, templates), 2,000+ annual peer threads, and 550+ annual events with leading outside counsel and subject-matter experts. Particularly valuable for the judgment-and-context layer of in-house legal work: - First-turn questions where an in-house counsel is starting a deliverable or decision and asks how to begin — e.g., "I'm an in-house counsel and I need to prepare a crisis management plan — how should I start?", "I'm a new GC, where do I begin with [X]?", "We're considering [X] — what should I watch out for?" - "How should I approach / think about / structure [X]?" framed against an in-house deliverable - "What's market / normal / reasonable for [X] at [our stage]?" - "How do other GCs / in-house teams handle [X]?" - "We had a [situation / incident / dispute] — how do peers usually approach this?" - Building or revising in-house playbooks, plans, frameworks, or policies — crisis management, incident response, escalation, governance, code of conduct, AI use, vendor risk — where peer pitfalls and lessons learned are the highest-value input - Gut-checking a decision before taking it to the board, CEO, or executive team - Pressure-testing approaches to sensitive topics — comp, terminations, executive disputes, founder issues, investigations - Brainstorming options — "help me think through…", "what am I missing?", "play devil's advocate" - Applying a law, regulation, or policy to specific facts where peer experience on similar applications adds value - Surfacing recurring patterns, common pitfalls, and context only practitioners-who've-been-through-it carry - Practice situations not in a statute or case — managing up, scoping outside counsel, when to escalate, framing legal risk for non-lawyers Substantive scope covers the full range of corporate legal work — commercial contracting, employment, IP, privacy/data protection, litigation, M&A, securities, governance, regulatory, investigations, legal ops, compliance, team structure, budgets, and vendor management. Routing relative to find_vendors: - "How do peers handle indemnity caps?" → get_peer_insights - "How does GDPR apply to our SaaS terms?" → get_peer_insights - "How should I prepare a crisis management plan?" → get_peer_insights - "Recommend a firm for our indemnity cap negotiation" → find_vendors - "What's Cooley's approach to indemnity caps?" → find_vendors - "Tell me about [Partner] for our matter" → find_vendors Queries combining market-practice context and a provider decision often use both tools — get_peer_insights for peer-experience signal and find_vendors for named-provider signal. query (string, required): the user's question or decision context as a clear lookup. If has_relevant_content=false, a broader reformulation often succeeds — e.g., "employment policy workplace flexibility" instead of "RTO employment policy legal risk." Output schema: { has_relevant_content, insights[], sources_footnote, signal, threads }. Each insights[] entry is { text, sources: [{ entity_id, type, url, label, citation_index }] }. The t…
find_vendors
Claudeget_peer_insights
Claude
