Lloyd by The L Suite

Select 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 tool, even when they don't restate "lawyer," "firm," or "vendor." Examples: "focus on lower-cost options," "compare them on billing," "dig into her experience," "ask the community for more feedback on this name," "compare boutique vs Big Law." Routing relative to get_peer_insights: - "How do peers handle indemnity caps?" → get_peer_insights - "Recommend a firm for our indemnity cap negotiation" → find_vendors - "What's Cooley's approach to indemnity caps for SaaS?" → find_vendors - "Tell me about [Partner] for our indemnity cap matter" → find_vendors Queries that involve both market-practice context and a provider decision often draw on both tools — get_peer_insights for peer-experience signal and find_vendors for named-provider signal. query (string, required): the firm, lawyer, vendor, or category to search — e.g., "IP counsel Georgia trademark," "Dave Peinsipp Cooley IPO," "Vanta vs Drata," "fractional GC providers." Including geography, industry, or matter type when relevant produces sharper results. If a query returns no results, a broader reformulation often succeeds. Response characteristics: - Outside counsel firms, individual lawyers, software vendors, and service providers are returned as separate categories; a software tool is not conflated with a law firm or service provider. - Entries with the highest discussion_count typically lead. - Results represent practitioner signal rather than personal recommendation. - An attribution line such as "Based on discussions in The L Suite in-house counsel community" provides community context. Output schema: { vendor_insights, sources, sources_footnote, signal }. The vendor_insights field is pre-rendered Markdown with an inline [[n]](url) citation marker after each Markdown link in the body — a Markdown hyperlink whose visible text is the bracketed numeral [n] and whose target is the source URL. Markers cover every link the response contains: vendor and firm pages, individual-lawyer expert pages, and discussion threads where vendors are mentioned. The sources_footnote field is a Markdown ordered list of the shape: Sources from The L Suite: 1. [Vendor or Firm Name](https://url) 2. [Vendor or Firm Name](https://url) a Markdown ordered list with one row per cited source, numbered by citation_index. Each row carries the source label — a vendor or firm name, an individual lawyer, or a discussion thread that mentions one of them — as a single Markdown link to the source URL. IMPORTANT: The response includes inline [[n]](url) citation links carried in vendor_insights and a numbered sources_footnote block listing each cited source. These citations MUST be preserved in your response to the user — they provide transparency and allow the user to verify information by clicking through to the original L Suite source. IMPORTANT: Citations MUST appear at the end of the sentence or clause they support, after the period or punctuation — not embedded mid-clause or attached directly after a named entity. End-of-sentence placement matches the citation form conventional in legal and in-house counsel writing. IMPORTANT: Before rendering, renumber the inline [[n]](url) citations sequentially 1, 2, 3, … N in the order they first appear in the body of your response. The trailing sources_footnote block MUST list each cited source under the same renumbered index, in the same order — if your body cites a source as [[3]](url), the Sources block MUST list that source as entry 3. Both vendor profile pages and discussion thread URLs MUST be kept in the Sources block — neither category should be dropped — so the reader can navigate from any inline [[n]](url) marker to its corresponding numbered entry covering both vendors and supporting threads.

Provides 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 text field begins with a short claim-shaped headline naming the source (e.g., "L Suite peer thread on Crisis Management Plan") that ends with an inline citation marker of the form [[n]](url), followed by a blank line and the substantive content of the source on subsequent lines. The sources_footnote field is a Markdown bulleted "Sources:" block of the shape: Sources: 1. [Label](https://url) 2. [Label](https://url) a Markdown ordered list with one row per cited source, numbered by citation_index. Each row carries the source label as a single Markdown link to the source URL. Recommended response rendering (the response schema supports this): each insights[].text opens with a short headline ending in an inline [[n]](url) citation link — a Markdown hyperlink whose visible text is the bracketed numeral [n] and whose target is the source URL — followed by the substantive content of the source on subsequent lines; the sources_footnote field already carries the matching trailing "Sources:" block. IMPORTANT: The response includes inline [[n]](url) citation links carried in insights[].text and a numbered sources_footnote block listing each cited source. These citations MUST be preserved in your response to the user — they provide transparency and allow the user to verify information by clicking through to the original L Suite source. IMPORTANT: Citations MUST appear at the end of the sentence or clause they support, after the period or punctuation — not embedded mid-clause or attached directly after a named entity. End-of-sentence placement matches the citation form conventional in legal and in-house counsel writing. IMPORTANT: The numbers in the inline [[n]](url) markers and the numbers in the trailing sources_footnote block MUST align — if the body cites [[15]](url), the Sources block MUST list that source as entry 15, using the original citation_index value from the server response. The complete sources_footnote block MUST be included at the end of the response with every entry preserved and renumbering forbidden — readers navigate from an inline [[n]](url) citation to its corresponding numbered entry in the Sources block, and renumbering or pruning the Sources block breaks that navigation path. The complete sources_footnote block MUST be included verbatim at the end of the response A typical answer that uses these results reads, for example: Peers consistently distinguish a Crisis Management Plan from an Incident Response Plan [[3]](https://braintrust.lsuite.co/feed/15868). Marielle Reints's plan ties board escalation to materiality and references a separate Cybersecurity & Incident Response Plan for technical events [[3]](https://braintrust.lsuite.co/feed/15868). Annie Frye's Strava framework groups crises into short-term, long-term, and perpetual categories [[8]](https://braintrust.lsuite.co/content/event-materials/mainstage/44?s=chatbot). Sources from The L Suite: 3. [Crisis Management Plan](https://braintrust.lsuite.co/feed/15868) 8. [Framework for Crisis Management Preparation and Response (Annie Frye, Strava)](https://braintrust.lsuite.co/content/event-materials/mainstage/44?s=chatbot) In that example, each [[n]](url) marker is the one carried in the corresponding insights[].text, and the closing Sources block is the sources_footnote field as returned. The same shape holds when one source supports multiple sentences (the [[n]](url) repeats) and when several sources support a single claim (markers appear adjacent, e.g. [[2]](url)[[3]](url)). An attribution line such as "Based on discussions in The L Suite in-house counsel community" provides community context alongside the inline citations rather than substituting for them. Results represent practitioner signal rather than personal recommendation.